Fuzzy Optimization
Mahin Ashouri; Abdollah Hadi-Vencheh; Ali Jamshidi
Abstract
Purpose: This study aims to tackle the challenging facility location selection problem in Multiple Criteria Decision Making (MCDM) scenarios, explicitly focusing on type-1 fuzzy MCDM issues. The research introduces Interval Valued Fuzzy Numbers (IVFNs) to express ratings, addressing the difficulty in ...
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Purpose: This study aims to tackle the challenging facility location selection problem in Multiple Criteria Decision Making (MCDM) scenarios, explicitly focusing on type-1 fuzzy MCDM issues. The research introduces Interval Valued Fuzzy Numbers (IVFNs) to express ratings, addressing the difficulty in determining precise membership degrees for fuzzy sets.Methodology: The proposed IVF-COPRAS method, centered on uncertainty risk reduction, is employed to enhance decision-making reliability in IVF decision problems. This methodology is applied to a real-world case involving the selection of a location for municipal wet waste landfill pits in a major Iranian city. Comparative analyses with other methods are conducted to assess the proposed approach.Findings: The study demonstrates the effectiveness of the IVF-COPRAS method in addressing facility location selection problems within MCDM. By utilizing IVFNs, the method successfully manages uncertainty, leading to more reliable decisions. Application to a practical scenario highlights the method's efficacy, and the comparative analysis provides insights into its performance relative to other methods.Originality/Value: This research contributes a novel approach with the IVF-COPRAS method for handling facility location selection challenges in MCDM. The reliance on IVFNs offers a unique perspective on uncertainty in decision-making, enhancing decision reliability. The real-world application emphasizes the method's practical significance, providing a valuable contribution to MCDM research and offering a methodological tool for similar decision-making problems across diverse domains.
Multi-Attribute Decision Making
ehsan vaezi; mehdi memarpour; mohammad khalilzadeh
Abstract
Management consulting firms focused on student organizations are an example of the difficulty of each of our customers that are based on the need to resolve addressing.Since these customers with professional, location and different issues are also effective model for management, knowledge transfer and ...
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Management consulting firms focused on student organizations are an example of the difficulty of each of our customers that are based on the need to resolve addressing.Since these customers with professional, location and different issues are also effective model for management, knowledge transfer and collection is not provided in these firms,Therefore, to evaluate and select the best companies among the firms felt.The aim of this study integrating theory with practice and discuss the evaluation and selection of top management consulting firms for establishment of knowledge management in the banking industry.For this purpose, multi-criteria decision making using a combination of techniques, evaluation and selection of top consulting firms in projects of knowledge management in the Bank Shahr.Accordingly, the ANP method by using fuzzy decision-making Prioritization criteria for selecting the top consultant in the project is the establishment of knowledge management And then using the technique of multi-Murray Fuzzy Prioritization and selection of top 4 companies among elected in the establishment of knowledge management projects in the city's banks. The results showed that the future development of the top consultants in the field of knowledge management at Bank Shahr