Fatih Tüysüz - Academia.edu (original) (raw)

Proceedings by Fatih Tüysüz

2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO), 2015

Assembly line balancing is one of the most important topics in production literature due to the o... more Assembly line balancing is one of the most important topics in production literature due to the obvious advantages it provides. Although there are many developed mathematical models and heuristics to solve this problem, simulation is still one of the most popular and widely used techniques used in both assembly line balancing and manufacturing system design. In this study, 22-inch LCD TV assembly line that consists of 47 tasks is handled, and the line balancing is performed by using two different approaches. The results of each approach are compared by using simulation on an experimental basis.

Papers by Fatih Tüysüz

European Journal of Science and Technology

The velocity distribution of the dark matter particles on the outskirts of the Solar System remai... more The velocity distribution of the dark matter particles on the outskirts of the Solar System remains unclear. We suggest to determine it using experimentally found properties of the oldest halo objects. Indeed, the oldest halo stars and globular clusters form a collisionless system, as well as dark matter particles do, and they evolved in the same gravitational field. If we accept this analogy, we can show that the velocity distribution of the dark matter particles should be highly anisotropic and have a sharp maximum near υ ∼ 500 km/s. The distribution is totally different from the Maxwell one. We analyze the influence of the distribution function on the results of dark matter detection experiments. It is found that the direct detection signal should differ noticeably from the one calculated from the Maxwell distribution with υ ≃ 220 km/s, which is conventional for direct detection experiments (the ratio depends on the detector properties and typically falls within the range between 6 and 0.2). Moreover, the sharp distinction from the Maxwell distribution can be very essential to the observations of dark matter annihilation.

Fuzzy Analytic Hierarchy Process, 2017

International Series in Operations Research & Management Science, 2017

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 2019

Farming is the biggest business since the beginning of humanity. Farming and farming business amo... more Farming is the biggest business since the beginning of humanity. Farming and farming business among countries triggered most of the historical revolutions directly or indirectly. Besides, all of the modern and technological innovations directly were adapted to the farming systems. In a large part of the world, the solar energy is never enough for farming all kind of vegetables and fruits during the whole year. At the same time, compensating the solar energy by using lighting, heating and other systems 7/24 during the whole year for farming is not economically enough as business. Like all other businesses, the main aim of farming business is also increasing productivity by decreasing expenses. With the introduction of information technologies into every moment of our lives, taking the advantage of intelligent systems has become more important to achieve these goals. Also, information technologies and intelligent farming systems have gained increasing importance with today’s consumption patterns. In this study, we aim to propose an evaluation model for the intelligent farming systems by using fuzzy sets theory and simulation technique.

J. Multiple Valued Log. Soft Comput., 2020

Bu çalışmamda değerli katkılarını esirgemeyip, çalışmamın her aşamasında destek olan ve beni yönl... more Bu çalışmamda değerli katkılarını esirgemeyip, çalışmamın her aşamasında destek olan ve beni yönlendiren, akademik anlamda örnek aldığım danışman hocam Sayın Prof. Dr. Cengiz KAHRAMAN"a bana göstermiş olduğu ilgi ve sabır için sonsuz teşekkürlerimi sunarım. Bu günlere gelmemde büyük emeği olan, sevgilerini ve desteklerini hiçbir zaman esirgemeyen, bana olan inançlarını hiç kaybetmeyen ve en umutsuz anlarımda sürekli yanımda olan başta annem Hülya TÜYSÜZ olmak üzere tüm aileme teşekkürlerimi bir borç bilirim. Ayrıca varlıklarıyla hayatıma değer katan ve bana olan desteklerini her zaman yanımda hissttiğim dostlarıma hayatımda oldukları için çok teşekkürler.

J. Multiple Valued Log. Soft Comput., 2017

Energy Systems Evaluation (Volume 2), 2021

Journal of Management Analytics, 2020

Decision-making is an important part of daily and business life for both individuals and organiza... more Decision-making is an important part of daily and business life for both individuals and organizations. Although the multi-criteria decision-making methods provide decision makers the necessary tools, they have differences in terms of the assumptions and fundamental theory. Hence, selecting the right decision-making method is at least as important as making the decision. TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method, which is one of the most widely used multi-criteria decision-making methods, has gained attention of researchers and thus various improved versions of the method have been proposed. This study considers the conventional TOPSIS method and experimentally displays the underlying reasons of the lacks of the conventional TOPSIS method by using a simulation technique. Detailed experimental analysis based on simulation with an application is used to reveal theoretical fundamentals of the TOPSIS method to better understand it and contribute to its improvement.

Journal of Enterprise Information Management, 2018

Purpose The purpose of this paper is to present a methodology which enables to measure and analyz... more Purpose The purpose of this paper is to present a methodology which enables to measure and analyze the performance of sub-process and overall system of a cargo company. Design/methodology/approach Network data envelopment analysis method with fuzzy data is used for performance measurement which considers the sub-process efficiency simultaneously together with the overall efficiency and also the uncertainty included in input–output data. Findings A real-life application of the proposed model is presented for Turkey. The application results show the efficiency scores of ten branches according to each sub-process and also the overall system. Although the obtained results are case specific, the application results indicate that the inefficient branches can achieve efficiency either by decreasing circulation ratio input for human resources sub-process or by increasing closed complaint output or by decreasing open complaint output for customer relationship management sub-process. Original...

Soft Computing, 2019

The banks serve in a highly dynamic and competitive environment and need to systematically evalua... more The banks serve in a highly dynamic and competitive environment and need to systematically evaluate their performance to improve their competitiveness. Performance evaluation is an important and complex process that requires flexible and analytic methods while handling the multidimensionality of the problem. This study presents a hybrid multi-criteria performance evaluation model for banking sector which combines two multi-criteria decision making methods that are simulation-integrated hesitant fuzzy linguistic term sets-based analytic hierarchy process method to determine the importance level of each criterion according to the decision makers' subjective judgements and grey relational analysis method to rank bank regions according to their performance values. The presented model is based on both probability theory and fuzzy sets theory and thus better represents all the dimensions of the uncertainty inherent in decision making process. A real-life application of the proposed performance evaluation model for a private bank operating in agricultural banking sector in Turkey is also given to illustrate the effectiveness and the applicability of the model.

International Journal of Information Technology & Decision Making, 2018

One of the important points in decision-making is representing the uncertainty. There have been d... more One of the important points in decision-making is representing the uncertainty. There have been developed approaches which are based on either fuzzy sets theory or probability theory to model the inherent uncertainty and imprecision in the pairwise comparison process of analytic hierarchy process (AHP). This study proposes a hybrid approach that integrates fuzzy sets theory and simulation technique into AHP method to better represent the uncertainty in decision-making process. The aim of the proposed approach is to benefit the advantages of both probability theory and fuzzy sets theory which may provide a new paradigm for modeling uncertainty in multi-criteria decision-making (MCDM). An illustrative example is also presented to show the applicability of the proposed approach.

Alphanumeric Journal, 2017

Evaluation of renewable energy resources is a critical and complex process which requires the ass... more Evaluation of renewable energy resources is a critical and complex process which requires the assessment and aggregation of multiple criteria and also the usage of appropriate data related to them. This study presents a simulation based multi-criteria model for the general evaluation of renewable energy alternatives. This model integrates Monte Carlo simulation technique with Grey Relational Analysis (GRA) method to be able to represent the variability and the uncertainty inherent in the data. Simulation based GRA method is used for ranking the renewable energy alternatives which are solar, wind, hydroelectric, biomass and geothermal energy. The effectiveness and the applicability of the proposed model is also illustrated with an application in which 5 renewable energy alternatives are evaluated according to 12 criteria.

SAÜ Fen Bilimleri Enstitüsü Dergisi, 2017

This study refers to cell formation, which is the fundamental and important stage of cellular man... more This study refers to cell formation, which is the fundamental and important stage of cellular manufacturing system design. Three widely used methods that are K-means clustering algorithm, average-linkage clustering algorithm and fuzzy clustering using expectation maximization algorithm for cell formation problem are studied. A real life application of these methods for the design of cylinder department of a construction equipment manufacturer is performed. The performance of each applied algorithm is evaluated according to intracellular voids, intracellular processing intensity and intercellular transportation measures. The application results indicate that K-means clustering algorithm, which is the most widely applied and most known one of classical clustering algorithms, is still an effective method for cell formation.

Complex & Intelligent Systems, 2017

One of the important points in performance measurement and evaluation is determining the relative... more One of the important points in performance measurement and evaluation is determining the relative importance of the metrics used. The aim of this study is to present a fuzzy multi-criteria decision-making approach for evaluating the factors used for performance evaluation. Hesitant fuzzy sets-based analytic hierarchy process method, which is an effective and successful approach to deal with uncertainty, is proposed for analyzing the factors affecting the performance of the branches of a cargo company in Turkey and also for prioritizing them according to their level of importance.

Eğitim Bilimleri Dergisi, 2017

Türk eğitim sisteminin her kademesinde, eğitim-öğretim veren özel okulların varlığı, eğitimöğreti... more Türk eğitim sisteminin her kademesinde, eğitim-öğretim veren özel okulların varlığı, eğitimöğretime olumlu katkı sağlamaktadır. Özel okullar, eğitimde bir rekabet ortamının oluşmasını sağlayarak, eğitim ortamlarının niteliğini artmasını sağlayabilmekte ve bu sebeple bu okullara olan talep artmaktadır. Eğitim sektörü gelişmeye oldukça müsait bir sektördür ve günümüzde özel okulların sayısı, devletin de bu okulları teşvik etmesiyle birlikte her geçen gün artmaktadır. Bu çalışmada özel okul yatırımı yapmak isteyen girişimciler için özel okul yatırım yeri seçiminin kolaylaştırılması amacı ile Çok Kriterli Karar Verme metotlarından Analitik Hiyerarşi Süreci ve Gri ilişkisel Analiz yöntemleri kullanılarak karar vericilerin bilimsel verilere dayalı olarak rasyonel bir seçim yapabilmesi amaçlanmıştır. Bu amaçla ilgili alan yazın taraması ile ve uzman görüşleri alınarak özel okul yatırımları konusunda öncelikle temel alınacak kriterler belirlenmiş, ilgili kaynaklardan yararlanılarak elde edilen gerçek veriler, uzmanlarca atanan ağırlıklar dikkate alınarak Türkiye' deki 81 il özel okul yatırım yapılabilirliği açısından sıralanmıştır. Anahtar kelimeler: Özel okul yatırımları, çok kriterli karar verme, Türkiye. Strategic analysis of 81 provinces in Turkey for private school investments using multiple criteria decision making methods

Uncertainty Modelling in Knowledge Engineering and Decision Making, 2016

Energy, 2016

Renewable energy sources are important alternatives that should be considered in forming energy p... more Renewable energy sources are important alternatives that should be considered in forming energy portfolio of countries. Countries need to carefully plan and select the most appropriate energy sources to be able to sustain their social and economic development. This study presents a grey based multi-criteria decision model for the evaluation of renewable energy sources which integrates three multi-criteria decision making methods that are Decision Making Trial and Evaluation Laboratory, Analytic Network Process and multi-criteria optimization and compromise solution (Serbian name: VlseKriterijumska Optimizacija I Kompromisno Resenje) methods. Grey Decision Making Trial and Evaluation Laboratory method is used to for revealing the relations among the evaluation criteria. The result of the grey Decision Making Trial and Evaluation Laboratory is then used for constructing the network structure of the Analytic Network Process. The importance or weights of the evaluation criteria are calculated with grey Analytic Network Process based on the experts' assessments. Finally, evaluation and ranking of the renewable energy sources are performed by using the proposed grey multi-criteria optimization and compromise solution method. The effectiveness and the applicability of the developed approach are presented with a case study.

International Journal of Information Technology & Decision Making, 2016

Performance evaluation is one of the most important problems for retail chains and may have effec... more Performance evaluation is one of the most important problems for retail chains and may have effect on tactical and strategic decisions. This paper proposes a grey-based multi-criteria performance evaluation model for retail sector. This model integrates Decision-Making Trial and Evaluation Laboratory (DEMATEL) and modified Grey Relational Analysis (GRA) methods. First, the grey-based DEMATEL method is used for determining the importance of performance indicators to be used in GRA based on the experts’ assessments. Then, the proposed modified GRA method is used for the performance evaluation and ranking of retail stores with respect to the predetermined performance indicators. Finally, the effectiveness and the applicability of the developed approach are illustrated with a case study with the actual data taken from a retail chain in Turkey.

2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO), 2015

Assembly line balancing is one of the most important topics in production literature due to the o... more Assembly line balancing is one of the most important topics in production literature due to the obvious advantages it provides. Although there are many developed mathematical models and heuristics to solve this problem, simulation is still one of the most popular and widely used techniques used in both assembly line balancing and manufacturing system design. In this study, 22-inch LCD TV assembly line that consists of 47 tasks is handled, and the line balancing is performed by using two different approaches. The results of each approach are compared by using simulation on an experimental basis.

European Journal of Science and Technology

The velocity distribution of the dark matter particles on the outskirts of the Solar System remai... more The velocity distribution of the dark matter particles on the outskirts of the Solar System remains unclear. We suggest to determine it using experimentally found properties of the oldest halo objects. Indeed, the oldest halo stars and globular clusters form a collisionless system, as well as dark matter particles do, and they evolved in the same gravitational field. If we accept this analogy, we can show that the velocity distribution of the dark matter particles should be highly anisotropic and have a sharp maximum near υ ∼ 500 km/s. The distribution is totally different from the Maxwell one. We analyze the influence of the distribution function on the results of dark matter detection experiments. It is found that the direct detection signal should differ noticeably from the one calculated from the Maxwell distribution with υ ≃ 220 km/s, which is conventional for direct detection experiments (the ratio depends on the detector properties and typically falls within the range between 6 and 0.2). Moreover, the sharp distinction from the Maxwell distribution can be very essential to the observations of dark matter annihilation.

Fuzzy Analytic Hierarchy Process, 2017

International Series in Operations Research & Management Science, 2017

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 2019

Farming is the biggest business since the beginning of humanity. Farming and farming business amo... more Farming is the biggest business since the beginning of humanity. Farming and farming business among countries triggered most of the historical revolutions directly or indirectly. Besides, all of the modern and technological innovations directly were adapted to the farming systems. In a large part of the world, the solar energy is never enough for farming all kind of vegetables and fruits during the whole year. At the same time, compensating the solar energy by using lighting, heating and other systems 7/24 during the whole year for farming is not economically enough as business. Like all other businesses, the main aim of farming business is also increasing productivity by decreasing expenses. With the introduction of information technologies into every moment of our lives, taking the advantage of intelligent systems has become more important to achieve these goals. Also, information technologies and intelligent farming systems have gained increasing importance with today’s consumption patterns. In this study, we aim to propose an evaluation model for the intelligent farming systems by using fuzzy sets theory and simulation technique.

J. Multiple Valued Log. Soft Comput., 2020

Bu çalışmamda değerli katkılarını esirgemeyip, çalışmamın her aşamasında destek olan ve beni yönl... more Bu çalışmamda değerli katkılarını esirgemeyip, çalışmamın her aşamasında destek olan ve beni yönlendiren, akademik anlamda örnek aldığım danışman hocam Sayın Prof. Dr. Cengiz KAHRAMAN"a bana göstermiş olduğu ilgi ve sabır için sonsuz teşekkürlerimi sunarım. Bu günlere gelmemde büyük emeği olan, sevgilerini ve desteklerini hiçbir zaman esirgemeyen, bana olan inançlarını hiç kaybetmeyen ve en umutsuz anlarımda sürekli yanımda olan başta annem Hülya TÜYSÜZ olmak üzere tüm aileme teşekkürlerimi bir borç bilirim. Ayrıca varlıklarıyla hayatıma değer katan ve bana olan desteklerini her zaman yanımda hissttiğim dostlarıma hayatımda oldukları için çok teşekkürler.

J. Multiple Valued Log. Soft Comput., 2017

Energy Systems Evaluation (Volume 2), 2021

Journal of Management Analytics, 2020

Decision-making is an important part of daily and business life for both individuals and organiza... more Decision-making is an important part of daily and business life for both individuals and organizations. Although the multi-criteria decision-making methods provide decision makers the necessary tools, they have differences in terms of the assumptions and fundamental theory. Hence, selecting the right decision-making method is at least as important as making the decision. TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) method, which is one of the most widely used multi-criteria decision-making methods, has gained attention of researchers and thus various improved versions of the method have been proposed. This study considers the conventional TOPSIS method and experimentally displays the underlying reasons of the lacks of the conventional TOPSIS method by using a simulation technique. Detailed experimental analysis based on simulation with an application is used to reveal theoretical fundamentals of the TOPSIS method to better understand it and contribute to its improvement.

Journal of Enterprise Information Management, 2018

Purpose The purpose of this paper is to present a methodology which enables to measure and analyz... more Purpose The purpose of this paper is to present a methodology which enables to measure and analyze the performance of sub-process and overall system of a cargo company. Design/methodology/approach Network data envelopment analysis method with fuzzy data is used for performance measurement which considers the sub-process efficiency simultaneously together with the overall efficiency and also the uncertainty included in input–output data. Findings A real-life application of the proposed model is presented for Turkey. The application results show the efficiency scores of ten branches according to each sub-process and also the overall system. Although the obtained results are case specific, the application results indicate that the inefficient branches can achieve efficiency either by decreasing circulation ratio input for human resources sub-process or by increasing closed complaint output or by decreasing open complaint output for customer relationship management sub-process. Original...

Soft Computing, 2019

The banks serve in a highly dynamic and competitive environment and need to systematically evalua... more The banks serve in a highly dynamic and competitive environment and need to systematically evaluate their performance to improve their competitiveness. Performance evaluation is an important and complex process that requires flexible and analytic methods while handling the multidimensionality of the problem. This study presents a hybrid multi-criteria performance evaluation model for banking sector which combines two multi-criteria decision making methods that are simulation-integrated hesitant fuzzy linguistic term sets-based analytic hierarchy process method to determine the importance level of each criterion according to the decision makers' subjective judgements and grey relational analysis method to rank bank regions according to their performance values. The presented model is based on both probability theory and fuzzy sets theory and thus better represents all the dimensions of the uncertainty inherent in decision making process. A real-life application of the proposed performance evaluation model for a private bank operating in agricultural banking sector in Turkey is also given to illustrate the effectiveness and the applicability of the model.

International Journal of Information Technology & Decision Making, 2018

One of the important points in decision-making is representing the uncertainty. There have been d... more One of the important points in decision-making is representing the uncertainty. There have been developed approaches which are based on either fuzzy sets theory or probability theory to model the inherent uncertainty and imprecision in the pairwise comparison process of analytic hierarchy process (AHP). This study proposes a hybrid approach that integrates fuzzy sets theory and simulation technique into AHP method to better represent the uncertainty in decision-making process. The aim of the proposed approach is to benefit the advantages of both probability theory and fuzzy sets theory which may provide a new paradigm for modeling uncertainty in multi-criteria decision-making (MCDM). An illustrative example is also presented to show the applicability of the proposed approach.

Alphanumeric Journal, 2017

Evaluation of renewable energy resources is a critical and complex process which requires the ass... more Evaluation of renewable energy resources is a critical and complex process which requires the assessment and aggregation of multiple criteria and also the usage of appropriate data related to them. This study presents a simulation based multi-criteria model for the general evaluation of renewable energy alternatives. This model integrates Monte Carlo simulation technique with Grey Relational Analysis (GRA) method to be able to represent the variability and the uncertainty inherent in the data. Simulation based GRA method is used for ranking the renewable energy alternatives which are solar, wind, hydroelectric, biomass and geothermal energy. The effectiveness and the applicability of the proposed model is also illustrated with an application in which 5 renewable energy alternatives are evaluated according to 12 criteria.

SAÜ Fen Bilimleri Enstitüsü Dergisi, 2017

This study refers to cell formation, which is the fundamental and important stage of cellular man... more This study refers to cell formation, which is the fundamental and important stage of cellular manufacturing system design. Three widely used methods that are K-means clustering algorithm, average-linkage clustering algorithm and fuzzy clustering using expectation maximization algorithm for cell formation problem are studied. A real life application of these methods for the design of cylinder department of a construction equipment manufacturer is performed. The performance of each applied algorithm is evaluated according to intracellular voids, intracellular processing intensity and intercellular transportation measures. The application results indicate that K-means clustering algorithm, which is the most widely applied and most known one of classical clustering algorithms, is still an effective method for cell formation.

Complex & Intelligent Systems, 2017

One of the important points in performance measurement and evaluation is determining the relative... more One of the important points in performance measurement and evaluation is determining the relative importance of the metrics used. The aim of this study is to present a fuzzy multi-criteria decision-making approach for evaluating the factors used for performance evaluation. Hesitant fuzzy sets-based analytic hierarchy process method, which is an effective and successful approach to deal with uncertainty, is proposed for analyzing the factors affecting the performance of the branches of a cargo company in Turkey and also for prioritizing them according to their level of importance.

Eğitim Bilimleri Dergisi, 2017

Türk eğitim sisteminin her kademesinde, eğitim-öğretim veren özel okulların varlığı, eğitimöğreti... more Türk eğitim sisteminin her kademesinde, eğitim-öğretim veren özel okulların varlığı, eğitimöğretime olumlu katkı sağlamaktadır. Özel okullar, eğitimde bir rekabet ortamının oluşmasını sağlayarak, eğitim ortamlarının niteliğini artmasını sağlayabilmekte ve bu sebeple bu okullara olan talep artmaktadır. Eğitim sektörü gelişmeye oldukça müsait bir sektördür ve günümüzde özel okulların sayısı, devletin de bu okulları teşvik etmesiyle birlikte her geçen gün artmaktadır. Bu çalışmada özel okul yatırımı yapmak isteyen girişimciler için özel okul yatırım yeri seçiminin kolaylaştırılması amacı ile Çok Kriterli Karar Verme metotlarından Analitik Hiyerarşi Süreci ve Gri ilişkisel Analiz yöntemleri kullanılarak karar vericilerin bilimsel verilere dayalı olarak rasyonel bir seçim yapabilmesi amaçlanmıştır. Bu amaçla ilgili alan yazın taraması ile ve uzman görüşleri alınarak özel okul yatırımları konusunda öncelikle temel alınacak kriterler belirlenmiş, ilgili kaynaklardan yararlanılarak elde edilen gerçek veriler, uzmanlarca atanan ağırlıklar dikkate alınarak Türkiye' deki 81 il özel okul yatırım yapılabilirliği açısından sıralanmıştır. Anahtar kelimeler: Özel okul yatırımları, çok kriterli karar verme, Türkiye. Strategic analysis of 81 provinces in Turkey for private school investments using multiple criteria decision making methods

Uncertainty Modelling in Knowledge Engineering and Decision Making, 2016

Energy, 2016

Renewable energy sources are important alternatives that should be considered in forming energy p... more Renewable energy sources are important alternatives that should be considered in forming energy portfolio of countries. Countries need to carefully plan and select the most appropriate energy sources to be able to sustain their social and economic development. This study presents a grey based multi-criteria decision model for the evaluation of renewable energy sources which integrates three multi-criteria decision making methods that are Decision Making Trial and Evaluation Laboratory, Analytic Network Process and multi-criteria optimization and compromise solution (Serbian name: VlseKriterijumska Optimizacija I Kompromisno Resenje) methods. Grey Decision Making Trial and Evaluation Laboratory method is used to for revealing the relations among the evaluation criteria. The result of the grey Decision Making Trial and Evaluation Laboratory is then used for constructing the network structure of the Analytic Network Process. The importance or weights of the evaluation criteria are calculated with grey Analytic Network Process based on the experts' assessments. Finally, evaluation and ranking of the renewable energy sources are performed by using the proposed grey multi-criteria optimization and compromise solution method. The effectiveness and the applicability of the developed approach are presented with a case study.

International Journal of Information Technology & Decision Making, 2016

Performance evaluation is one of the most important problems for retail chains and may have effec... more Performance evaluation is one of the most important problems for retail chains and may have effect on tactical and strategic decisions. This paper proposes a grey-based multi-criteria performance evaluation model for retail sector. This model integrates Decision-Making Trial and Evaluation Laboratory (DEMATEL) and modified Grey Relational Analysis (GRA) methods. First, the grey-based DEMATEL method is used for determining the importance of performance indicators to be used in GRA based on the experts’ assessments. Then, the proposed modified GRA method is used for the performance evaluation and ranking of retail stores with respect to the predetermined performance indicators. Finally, the effectiveness and the applicability of the developed approach are illustrated with a case study with the actual data taken from a retail chain in Turkey.

2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO), 2015

In today's societies, entrepreneurship has undeniable effects on economic, social, and technologi... more In today's societies, entrepreneurship has undeniable effects on economic, social, and technological development of countries. In this regard, the Iranian food industry, which includes many specific features, including the vast domestic and regional consumption market, was considered by the researchers in this study. The purpose of this research is to investigate and identify variables and to explain the effective factors on the individual entrepreneurship process in Iran's food industry. In the first phase of the study, the survey team carried out semi-structured interviews with 13 experts in the domain of food industries. In the second phase of the study, a questionnaire based on the Grey DEM ATEL method is available to experts for determining priorities and interrelationships between the factors. Based on the research data, paired comparison analysis questionnai has been used. The findings of the research show that among the six categoriesindividual, personality, occupation, food industry environment, institutional, and environmental factorsthe environmental ones were the most influential factors. Also, the individual ones were the most influenced factors and at the same time the most important factor among the ones influencing the process of entrepreneurship in Iran's food industries.