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Papers by co co

Research paper thumbnail of A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics

Energies

The managerial and environmental studies conducted in the energy research area reflect its substa... more The managerial and environmental studies conducted in the energy research area reflect its substantial importance, particularly when optimizing and modifying consumption patterns, transitioning to renewable sources away from fossil ones, and designing plans and systems. The aim of this study is to provide a systematic review of the literature allowing us to identify which research subjects have been prioritized in the fields of energy and sustainability in recent years, determine the potential reasons explaining these trends, and categorize the techniques applied to analyze the uncertainty faced by decision-makers. We review articles published in highly ranked journals through the period 2003–2020 and apply text analytics to cluster their main characteristics; that is, we rely on pre-processing and text mining techniques. We analyze the title, abstract, keywords, and research methodology of the articles through clustering and topic modeling and illustrate what methods and fields con...

Research paper thumbnail of A fuzzy group linear programming technique for multidimentional analysis of preference

Journal of Intelligent & Fuzzy Systems

ABSTRACT Although crisp data are fundamentally indispensable in the conventional linear programmi... more ABSTRACT Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized by linguistic terms which are fuzzy in nature. LINMAP has been widely used to solve multi-attribute decision making (MADM) problems. This paper extends the conventional LINMAP model to a fuzzy group decision making framework using trapezoidal fuzzy numbers. The ranking approach is used to transform the fuzzy model into a crisp model. The fuzzy LINMAP method proposed in this paper is a simple and effective tool for tackling the uncertainty and imprecision associated with the group MADM problems. A case study in fast food industry is presented to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures.

Research paper thumbnail of An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection

International Journal of Systems Science: Operations & Logistics

Research paper thumbnail of Strategic Signaling and New Technologically Superior Product Introduction: A Game-Theoretic Model with Simulation

Technological and Economic Development of Economy

User acceptance of technology is essential to determine its success. The current paper incorporat... more User acceptance of technology is essential to determine its success. The current paper incorporates the main properties of the technology acceptance models (TAMs) developed by management scholars into a pre-commitment signaling duopolistic framework, where two competing firms must decide the level of technological improvement of the products being introduced. As a result, the corresponding equilibria of the duopolistic technological games will be determined by demand-based factors, providing a novel approach and complementing the current supply-based economic and operational research models developed in the literature. The proposed model will be simulated numerically to illustrate the strategic optimality of the update process of smartphone and tablet characteristics defined by Apple and Samsung as the market developed.

Research paper thumbnail of An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection

International Journal of Systems Science: Operations & Logistics

Research paper thumbnail of A new fuzzy network slacks-based DEA model for evaluating performance of supply chains with reverse logistics

Journal of Intelligent & Fuzzy Systems

ABSTRACT

Research paper thumbnail of A stepwise fuzzy linear programming model with possibility and necessity relations

Journal of Intelligent & Fuzzy Systems

ABSTRACT Linear programming (LP) is the most widely used optimization technique for solving real-... more ABSTRACT Linear programming (LP) is the most widely used optimization technique for solving real-life problems because of its simplicity and efficiency. Although conventional LP models require precise data, managers and decision makers dealing with real-world optimization problems often do not have access to exact values. Fuzzy sets have been used in the fuzzy LP (FLP) problems to deal with the imprecise data in the decision variables, objective function and/or the constraints. The imprecisions in the FLP problems could be related to (1) the decision variables; (2) the coefficients of the decision variables in the objective function; (3) the coefficients of the decision variables in the constraints; (4) the right-hand-side of the constraints; or (5) all of these parameters. In this paper, we develop a new stepwise FLP model where fuzzy numbers are considered for the coefficients of the decision variables in the objective function, the coefficients of the decision variables in the constraints and the right-hand-side of the constraints. In the first step, we use the possibility and necessity relations for fuzzy constraints without considering the fuzzy objective function. In the subsequent step, we extend our method to the fuzzy objective function. We use two numerical examples from the FLP literature for comparison purposes and to demonstrate the applicability of the proposed method and the computational efficiency of the procedures and algorithms.

Research paper thumbnail of A note and new extensions on “interval efficiency measures in data envelopment analysis with imprecise data”

Research paper thumbnail of An integrated data envelopment analysis and mixed integer non-linear programming model for linearizing the common set of weights

Central European Journal of Operations Research

Research paper thumbnail of A novel optimization model for designing compact, balanced, and contiguous healthcare districts

Journal of the Operational Research Society

Research paper thumbnail of A hybrid data envelopment analysis and game theory model for performance measurement in healthcare

Health Care Management Science

Research paper thumbnail of A joint chance-constrained data envelopment analysis model with random output data

Research paper thumbnail of The Role of Anticipated Emotions and the Value of Information in Determining Sequential Search Incentives

Operations Research Perspectives

Research paper thumbnail of A novel hybrid method for selecting soccer players during the transfer season

Research paper thumbnail of A Malmquist Productivity Index with Directional Distance Function and Uncertain Data

Scientia Iranica

In the present study, by using the directional distance function with undesirable interval output... more In the present study, by using the directional distance function with undesirable interval outputs, the Malmquist productivity index (MPI) and integrated data envelopment analysis (DEA) are presented for evaluating the function of decision making unites (DMUs). The MPI calculation is performed to compare the efficiency of the DMUs in distinct time periods. The uncertainty inherent in real-world problems is considered by using the best and worst-case scenarios, defining an interval for the MPI and reflecting the DMUs' advancement or regress. The optimal solution of the robust model lies in the efficiency interval, i.e., it is always equal to or less than the optimal solution in the optimistic case and equal to or greater than the optimal solution in the pessimistic case. We also present a case study in the banking industry to demonstrate the applicability and efficacy of the proposed integrated approach.

Research paper thumbnail of A strategic cooperative game-theoretic model for market segmentation with application to banking in emerging economies

Technological and Economic Development of Economy

Market segmentation is essential to target efficaciously core-segment customers and to obtain a c... more Market segmentation is essential to target efficaciously core-segment customers and to obtain a competitive advantage. Firms when confronted by the range of market segments, have difficulty in deciding the core-segment customers who are the most probable purchasers of their product and services. We propose a novel fuzzy group multi-criteria method for market entry and segment evaluation and selection. This proposed method provides a comprehensive and systematic framework that combines bi-level multi-objective optimization with real option analysis (ROA) and fuzzy cooperative n-person game theory. The contribution of the proposed segment evaluation and selection method is fivefold: (1) it addresses the gaps in the marketing literature on the efficacious and effective assessment of market segments; (2) it provides a comprehensive and systematic framework that combines bi-level multi-objective optimization with ROA and fuzzy cooperative n-person game theory; (3) it considers fuzzy logi...

Research paper thumbnail of A Comprehensive Set of Models of Intra and Inter-Organizational Coordination in a Supply Chain

Research paper thumbnail of A Hybrid Delphi-SWOT Paradigm for Oil and Gas Pipeline Strategic Planning in Caspian Sea Basin

Energy Policy, Jan 31, 2012

The Caspian Sea basin holds large quantities of both oil and natural gas that could help meet the... more The Caspian Sea basin holds large quantities of both oil and natural gas that could help meet the increasing global demand for energy resources. Consequently, the oil and gas potential of the region has attracted the attention of the international oil and gas industry. The key to realizing the energy producing potential of the region is the development of transnational export routes to take oil and gas from the landlocked Caspian Sea basin to world markets. The evaluation and selection of alternative transnational export routes is a complex multi-criteria problem with conflicting objectives. The decision makers (DMs) are required to consider a vast amount of information concerning internal strengths and weaknesses of the alternative routes as well as external opportunities and threats to them. This paper presents a hybrid model that combines strength, weakness, opportunity and threat (SWOT) analysis with the Delphi method.

Research paper thumbnail of A Comparison of DSS/ES Teaching Strategies: Conceptual vs. Interactive Approaches

Research paper thumbnail of An Investigation of the Relative Importance Attached to the Qualitative Characteristics in the SFAC 2 Hierarchy

Abstract: Statement of Financial Accounting Concepts No. 2 presents hierarchy of accounting quali... more Abstract: Statement of Financial Accounting Concepts No. 2 presents hierarchy of accounting qualities and asserts that the relative importance of the qualities differs between groups of decision makers. This study examined the relative importance attached to the qualities by a ...

Research paper thumbnail of A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics

Energies

The managerial and environmental studies conducted in the energy research area reflect its substa... more The managerial and environmental studies conducted in the energy research area reflect its substantial importance, particularly when optimizing and modifying consumption patterns, transitioning to renewable sources away from fossil ones, and designing plans and systems. The aim of this study is to provide a systematic review of the literature allowing us to identify which research subjects have been prioritized in the fields of energy and sustainability in recent years, determine the potential reasons explaining these trends, and categorize the techniques applied to analyze the uncertainty faced by decision-makers. We review articles published in highly ranked journals through the period 2003–2020 and apply text analytics to cluster their main characteristics; that is, we rely on pre-processing and text mining techniques. We analyze the title, abstract, keywords, and research methodology of the articles through clustering and topic modeling and illustrate what methods and fields con...

Research paper thumbnail of A fuzzy group linear programming technique for multidimentional analysis of preference

Journal of Intelligent & Fuzzy Systems

ABSTRACT Although crisp data are fundamentally indispensable in the conventional linear programmi... more ABSTRACT Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized by linguistic terms which are fuzzy in nature. LINMAP has been widely used to solve multi-attribute decision making (MADM) problems. This paper extends the conventional LINMAP model to a fuzzy group decision making framework using trapezoidal fuzzy numbers. The ranking approach is used to transform the fuzzy model into a crisp model. The fuzzy LINMAP method proposed in this paper is a simple and effective tool for tackling the uncertainty and imprecision associated with the group MADM problems. A case study in fast food industry is presented to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures.

Research paper thumbnail of An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection

International Journal of Systems Science: Operations & Logistics

Research paper thumbnail of Strategic Signaling and New Technologically Superior Product Introduction: A Game-Theoretic Model with Simulation

Technological and Economic Development of Economy

User acceptance of technology is essential to determine its success. The current paper incorporat... more User acceptance of technology is essential to determine its success. The current paper incorporates the main properties of the technology acceptance models (TAMs) developed by management scholars into a pre-commitment signaling duopolistic framework, where two competing firms must decide the level of technological improvement of the products being introduced. As a result, the corresponding equilibria of the duopolistic technological games will be determined by demand-based factors, providing a novel approach and complementing the current supply-based economic and operational research models developed in the literature. The proposed model will be simulated numerically to illustrate the strategic optimality of the update process of smartphone and tablet characteristics defined by Apple and Samsung as the market developed.

Research paper thumbnail of An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection

International Journal of Systems Science: Operations & Logistics

Research paper thumbnail of A new fuzzy network slacks-based DEA model for evaluating performance of supply chains with reverse logistics

Journal of Intelligent & Fuzzy Systems

ABSTRACT

Research paper thumbnail of A stepwise fuzzy linear programming model with possibility and necessity relations

Journal of Intelligent & Fuzzy Systems

ABSTRACT Linear programming (LP) is the most widely used optimization technique for solving real-... more ABSTRACT Linear programming (LP) is the most widely used optimization technique for solving real-life problems because of its simplicity and efficiency. Although conventional LP models require precise data, managers and decision makers dealing with real-world optimization problems often do not have access to exact values. Fuzzy sets have been used in the fuzzy LP (FLP) problems to deal with the imprecise data in the decision variables, objective function and/or the constraints. The imprecisions in the FLP problems could be related to (1) the decision variables; (2) the coefficients of the decision variables in the objective function; (3) the coefficients of the decision variables in the constraints; (4) the right-hand-side of the constraints; or (5) all of these parameters. In this paper, we develop a new stepwise FLP model where fuzzy numbers are considered for the coefficients of the decision variables in the objective function, the coefficients of the decision variables in the constraints and the right-hand-side of the constraints. In the first step, we use the possibility and necessity relations for fuzzy constraints without considering the fuzzy objective function. In the subsequent step, we extend our method to the fuzzy objective function. We use two numerical examples from the FLP literature for comparison purposes and to demonstrate the applicability of the proposed method and the computational efficiency of the procedures and algorithms.

Research paper thumbnail of A note and new extensions on “interval efficiency measures in data envelopment analysis with imprecise data”

Research paper thumbnail of An integrated data envelopment analysis and mixed integer non-linear programming model for linearizing the common set of weights

Central European Journal of Operations Research

Research paper thumbnail of A novel optimization model for designing compact, balanced, and contiguous healthcare districts

Journal of the Operational Research Society

Research paper thumbnail of A hybrid data envelopment analysis and game theory model for performance measurement in healthcare

Health Care Management Science

Research paper thumbnail of A joint chance-constrained data envelopment analysis model with random output data

Research paper thumbnail of The Role of Anticipated Emotions and the Value of Information in Determining Sequential Search Incentives

Operations Research Perspectives

Research paper thumbnail of A novel hybrid method for selecting soccer players during the transfer season

Research paper thumbnail of A Malmquist Productivity Index with Directional Distance Function and Uncertain Data

Scientia Iranica

In the present study, by using the directional distance function with undesirable interval output... more In the present study, by using the directional distance function with undesirable interval outputs, the Malmquist productivity index (MPI) and integrated data envelopment analysis (DEA) are presented for evaluating the function of decision making unites (DMUs). The MPI calculation is performed to compare the efficiency of the DMUs in distinct time periods. The uncertainty inherent in real-world problems is considered by using the best and worst-case scenarios, defining an interval for the MPI and reflecting the DMUs' advancement or regress. The optimal solution of the robust model lies in the efficiency interval, i.e., it is always equal to or less than the optimal solution in the optimistic case and equal to or greater than the optimal solution in the pessimistic case. We also present a case study in the banking industry to demonstrate the applicability and efficacy of the proposed integrated approach.

Research paper thumbnail of A strategic cooperative game-theoretic model for market segmentation with application to banking in emerging economies

Technological and Economic Development of Economy

Market segmentation is essential to target efficaciously core-segment customers and to obtain a c... more Market segmentation is essential to target efficaciously core-segment customers and to obtain a competitive advantage. Firms when confronted by the range of market segments, have difficulty in deciding the core-segment customers who are the most probable purchasers of their product and services. We propose a novel fuzzy group multi-criteria method for market entry and segment evaluation and selection. This proposed method provides a comprehensive and systematic framework that combines bi-level multi-objective optimization with real option analysis (ROA) and fuzzy cooperative n-person game theory. The contribution of the proposed segment evaluation and selection method is fivefold: (1) it addresses the gaps in the marketing literature on the efficacious and effective assessment of market segments; (2) it provides a comprehensive and systematic framework that combines bi-level multi-objective optimization with ROA and fuzzy cooperative n-person game theory; (3) it considers fuzzy logi...

Research paper thumbnail of A Comprehensive Set of Models of Intra and Inter-Organizational Coordination in a Supply Chain

Research paper thumbnail of A Hybrid Delphi-SWOT Paradigm for Oil and Gas Pipeline Strategic Planning in Caspian Sea Basin

Energy Policy, Jan 31, 2012

The Caspian Sea basin holds large quantities of both oil and natural gas that could help meet the... more The Caspian Sea basin holds large quantities of both oil and natural gas that could help meet the increasing global demand for energy resources. Consequently, the oil and gas potential of the region has attracted the attention of the international oil and gas industry. The key to realizing the energy producing potential of the region is the development of transnational export routes to take oil and gas from the landlocked Caspian Sea basin to world markets. The evaluation and selection of alternative transnational export routes is a complex multi-criteria problem with conflicting objectives. The decision makers (DMs) are required to consider a vast amount of information concerning internal strengths and weaknesses of the alternative routes as well as external opportunities and threats to them. This paper presents a hybrid model that combines strength, weakness, opportunity and threat (SWOT) analysis with the Delphi method.

Research paper thumbnail of A Comparison of DSS/ES Teaching Strategies: Conceptual vs. Interactive Approaches

Research paper thumbnail of An Investigation of the Relative Importance Attached to the Qualitative Characteristics in the SFAC 2 Hierarchy

Abstract: Statement of Financial Accounting Concepts No. 2 presents hierarchy of accounting quali... more Abstract: Statement of Financial Accounting Concepts No. 2 presents hierarchy of accounting qualities and asserts that the relative importance of the qualities differs between groups of decision makers. This study examined the relative importance attached to the qualities by a ...