Integration of Fuzzy Analytic Hierarchy Process (FAHP) with Balance Score Card (BSC) in order to Evaluate the Performance of Information Technology in Industry The Journal of Mathematics and Computer Science (original) (raw)

Evaluation and Weighting Balanced Scorecard Critical Factors by Means of Fuzzy Analytic Hierarchy Process (A Case Study)

2012

2 Abstract: Complexity of environment of business competitive arena and increased customers' expectations has made necessity of getting awareness from strong and weak points of organization and consecutive improvement of efficiency clear and apparent more than before. Hence, attaining a comprehensive performance evaluation, confident, trustable and flexible method is one of major and basic concerns of current organizations, aimed at obtaining enough and accurate information about their status through resorting it. With their outlook to future, these organizations need a compressive flexible method to take lesson from their previous mistakes. With the application of a performance measurement system based on strategy, activities and affairs can be managed effectively, efficiently and degree of success, work output and work progress can be measured in materialization of strategic objectives. For identification and recognition of their current situation and getting progress and succ...

Decision-Making in Fuzzy Environment: A Survey

Application of Decision Science in Business and Management [Working Title]

Multi-criteria decision-making (MCDM) is a crucial process in many business and management applications. The final decision is based upon the relative weights to the decision-making team. The analytic hierarchy process (AHP) has found to be one of the most successful approaches for evaluations of the weights and the importance of the criteria. However, most of the evaluated values are not so precise due to the fuzziness of the evaluating environment. This chapter surveys essentially the basic analytic hierarchy process and the fuzzy analytic hierarchy process (FAHP). It depicts through an example the steps for using the original analytic hierarchy process for two levels of criteria. Then, it uses the same example to explain the fuzzy approach in the evaluation. Finally, it compares both approaches.

Comparative Analysis between Fuzzy and Traditional Analytical Hierarchy Process

MATEC Web of Conferences, 2014

Analytic Hierarchy Process (AHP) is one of the techniques commonly used for prioritizing different alternatives, by using complex criteria. In real applications, conventional AHP assumes the expert judgment as it is exact and use crisp number leading to inconsideration of the uncertainty that came from linguistic variable. Fuzzy logic deals with situations which are vague or unwell defined and gives a quantify value. In this study a comparison is made between traditional AHP and fuzzy AHP by taking a case of selecting an effective oil refinery. The selection is conducted using system effectiveness as a criterion. The two approaches have been compared on the same hierarchy structure and criteria set and the result show that in both case dual drum scheme (DDS) has the highest priority but different value that is 0.51and 0.36 for AHP and FAHP respectively which shows that if the expert opinion is certain AHP should be used if not FAHP should be preferred This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Assessment of Organization Performance using Combined Approach of Balanced Scorecard and Fuzzy Analytic

2012

This article intends to answer the question as how through combination of BSC and Fuzzy Analytic Network Process (ANP) organization's relative performance can be assessed based on its outlook and strategies, so as both the interaction between criteria and indicators and the balance between them are taken account of. This is an applied and descriptive research conducted through a case study and the under study in one of the medical universities in north of Iran. Through consensus and profiting from a questionnaire the data were gathered. Questionnaire validity and stability was confirmed following approval of the organization's experts. In this article, through presentation of new Fuzzy model, it has been tried to assess current strategies of the organization and the key factors associated to these strategies. Statistical population in this research includes knowledgeable and experienced managers and experts in the understudy organization. In this article, through combinati...

One of the Ways to Identify the Weights of Indicators of the Fuzzy Analytical Hierarchy Process for Determining BSC of an Airline Company

Transport Problems

This article presents the justification for the relevance of the method for assessing the performance of an airline company. Based on a survey of foreign sources, it was proposed to use the integrated method of the analytic hierarchy process using the example of "Air Astana". The results of the method are described based on the determination of effective indicators. The conclusions are arrived at on the expediency of applying the fuzzy analytic hierarchy process (FAHP) approach for the evaluation the airline's performance. The priority (importance) and weight of all perspectives and the corresponding indicators are determined according to the proposed method. A method of assessing the probability degree of fuzzy numbers is applied to calculate the weights of the indicators (perspectives). The results of the study show that the company will be able to monitor the effectiveness of its activities using selected indicators for each perspective. The application of the instruments enhances the effectiveness of management activities of the airline and confirms the relevance of a follow-up study of the problem. This approach can be used for the management of companies in different sectors of the national economy to enhance the efficiency of management decision-making.

Modification of the dynamic scale of marks in analytic hierarchy process (ahp) and analytic network approach (anp) through application of fuzzy approach

… Research and Essays, 2012

There are two mainstreams in the use of the analytic network process (ANP) and analytic hierarchy process (AHP). One is the standard applications of crisp distributive and ideal mode versions. The other is characterised by fuzzification of the AHP/ANP methodology and by attempts to tackle better inherently uncertain and imprecise decision processes with quantitative and qualitative data. This paper presents modification of the AHP/ANP method, in which fuzzy numbers have been used for determining weight values of criteria and alternatives.Unlike the papers describing the procedure of fuzzification of the AHP/ANP method, the method described here takes into account the level of uncertainty of the decision maker. After application of the AHP/ANP method in this way, the values of the functions criteria for each considered alternative are obtained. Certain values of the level of certainty are corresponding to the obtained values of the functions criteria. It is possible to generate various sets of the values of criterion functions. Since large number of experts often participate in decision making, the model deals with possibility of synthesis of the optimality of criterion values in case of group decision making. The proposed methodology has been used for the assessment of management plans in West Serbia.

Fuzzy Analytic Hierarchy Process Untuk Menganalisa Faktor Pemilihan Teller Terbaik

J-SAKTI (Jurnal Sains Komputer dan Informatika), 2019

In an effort to provide motivation to improve the dedication and performance of the teller, the selection of the best teller is done periodically every year, some criteria that are performance appraisals are discipline, initiative, thorough, friendly, and speed of service, During this time the assessment of tellers by the Branch Manager does not yet have a method that can handle priority problems with many of these criteria so that the Branch Manager often has difficulty in choosing the best employee objectively.For the sake of work efficiency and effectiveness, we need an appropriate decision-making method with the aim to build and provide an alternative to a decision support system that is the Analytical Hierarchy Process (AHP) method,in the AHP method there is the concept of eigen vector for the priority ranking process of each criterion based on a pairwise comparison matrix, this will facilitate the process of selecting the best teller because the concept is simple, easy to understand,the computation is efficient and has the ability to measure performance and alternative decisions in a simple mathematical form,so that we will get the best teller who deserves to get the best teller (bonus) allowance and a better career path in the future. And application programs are made in order to facilitate the application of the use of the AHP method when implemented.

Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm

Expert Systems with Applications, 2010

Balanced Scorecard (BSC), which is used as a strategic evaluation tool, is a method of determining business performance using lagging and leading indicators on the basis of vision and strategies. The method suggests that business performance should be evaluated not only by using financial indicators but also simultaneously considering non-financial indicators. It has been revealed in the review of relevant literature that despite the satisfying levels achieved in conceptual and theoretical dimension of Balanced Scorecard, the method has some deficiencies in terms of implementation on a quantitative basis and that there remain some problems to be resolved. Subject of this study covered the measurement and evaluation dimension of BSC. In the scope of the study, BSC approach was integrated with fuzzy ANP technique so as to determine the performance level of a business on the basis of its vision and strategies. Proposed model has shown that performance indicators with different structures included in BSC approach can be consolidated with the help of fuzzy ANP technique.

Ranking Organizational Factors Influencing the Success of Information Systems using AHP

International Journal of Social and Organizational Dynamics in IT, 2013

Decisions in today's competitive and turbulent environments without access to information can confuse managers. The information system, which is planning, design and deployment as efficient and effective way, can help to improve the organization and create competitive advantages. One of the success factors and effectiveness of information systems in organizations is the organizational factors. In this research, organizational factors such as top management support, resource allocation, decision-making structure, management style and alignment of goals and knowledge of IT management, that affects the success factors of information systems (System quality, user satisfaction, perceived usefulness and quality of information), were analyzed and prioritized by Analytic Hierarchy Process (AHP) in Industries and Mines Organization of Isfahan Province. After gathering information and analysis them by using the Expert Choice, it was found that among success factors of information systems,...

Assessment of Organization Performance using Combined Approach of Balanced Scorecard and Fuzzy Analytic Network Process

This article intends to answer the question as how through combination of BSC and Fuzzy Analytic Network Process (ANP) organization's relative performance can be assessed based on its outlook and strategies, so as both the interaction between criteria and indicators and the balance between them are taken account of. This is an applied and descriptive research conducted through a case study and the under study in one of the medical universities in north of Iran. Through consensus and profiting from a questionnaire the data were gathered. Questionnaire validity and stability was confirmed following approval of the organization's experts. In this article, through presentation of new Fuzzy model, it has been tried to assess current strategies of the organization and the key factors associated to these strategies. Statistical population in this research includes knowledgeable and experienced managers and experts in the understudy organization. In this article, through combination of two performance measurement models, (BSC and ANP), while profiting from a Fuzzy Approach the indicators for measurement of organization performance are identified and by combination of the two models, a comprehensive model is proposed for measurement of the organization's overall performance. In the research findings, the key constituents and the indicators associated to each constituent were pointed out based on which priority and weight of each in regard to organization's current state of performance can be determined. These weights and indicators can give a useful insight to the university managers regarding the organization performance and importance of its different aspects at organizational level. The score of 61% (out of 100) was found for the organization current performance which can serve as a good base for improvement of the organization future performance.