فهرست مقالات Fuzzy Condition

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  1 - Application of Fuzzy Analytical Hierarchy Process and Quality Function Deployment Techniques for Supplier's Assessment
  Alireza Alinezhad Azadeh Seif
  10.22094/joie.2020.27.1
  Abstract Vendor Selection Problem (VSP) has been considered in this paper as an integrated method of Fuzzy Analytic Hierarchy Process (FAHP) and Quality Function Deployment (QFD) in the pharmaceutical company. In QFD method, determining the importance of the "weights" f چکیده کامل

  Abstract Vendor Selection Problem (VSP) has been considered in this paper as an integrated method of Fuzzy Analytic Hierarchy Process (FAHP) and Quality Function Deployment (QFD) in the pharmaceutical company. In QFD method, determining the importance of the "weights" for the customer requirements is an essential and crucial issue. FAHP has been used to determine the importance of the "weights" for Product Designing which incorporates the four important attributes in a pharmaceutical company namely Cost, Standing Supplier, Delivery Time and Quality. The new approach can improve the imprecise ranking of customer requirements and provides a decision tool that facilitates the vendor selection. The most significant advantage of this integrated method is using it as a self-evaluation tool in the organization to determine weaknesses and strengths, so it can help researchers to solve this specific subject for supplier’s selection. پرونده مقاله
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  2 - Prioritization of Lean-production Components with Fuzzy Network Analysis: A Case Study (Sam Electric Co.)
  Sayyed Mohammad Reza Davoodi Fatemeh Pasamehr
  The purpose of this research is to comprehend the different dimensions of the concept of lean in order to identify activities proportionate to the economic, cultural and organizational conditions in the industrial environment of the country, which regarding them, the po چکیده کامل

  The purpose of this research is to comprehend the different dimensions of the concept of lean in order to identify activities proportionate to the economic, cultural and organizational conditions in the industrial environment of the country, which regarding them, the position of the focus company was measured in the direction movement of leaning. This research was conducted among 15 experts and managers of Sam Electronics Company, who were selected based on the Simple Random Sampling (SRS) method. To collect data in this research, a questionnaire was used. The effective indicators in the lean production system were ranked and evaluated after identification, utilizing the group decision-making model of the fuzzy network analysis method. The main indicators that were prioritized include; supply chain management (SCM), suppliers, timing production indicators, human resources management indicators, comprehensive quality management, and the indicators of Total Productive Maintenance. The sub-indicators of each of the primary indicators were also identified and prioritized, and according to the results of the research, necessary suggestions were made to move towards leaning and investment improving for each of the indicators. پرونده مقاله
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  3 - Application of Grey Numbers and Neutrosophic Sets to Assessment Processes
  Michael Voskoglou
  10.30495/fomj.2023.1992552.1104
  Zadeh extended in 1965 crisp sets to the concept of fuzzy set (FS) on the purpose of tackling mathematically the partial truths and the definitions with no clear boundaries. In a later stage FSs were extensively used for tackling the existing in the real world uncertain چکیده کامل

  Zadeh extended in 1965 crisp sets to the concept of fuzzy set (FS) on the purpose of tackling mathematically the partial truths and the definitions with no clear boundaries. In a later stage FSs were extensively used for tackling the existing in the real world uncertainty. Neutrosophic sets (NSs) are extensions of FSs in which each element of the universal set is characterized, apart from Zadeh’s membership degree, by the degrees of non-membership and indeterminacy. Grey numbers (GNs) are real numbers with known range, represented by a closed real interval, but with unknown exact value. GNs and NSs are used in this paper as tools for assessment processes under fuzzy conditions. The use of GNs enables the evaluation of the mean performance of a group of objects when qualitative grades (linguistic expressions) are used for the individual assessment of its members. The use of NSs, on the other hand, is useful for assessing the overall performance of a group, when one, due to incomplete assessment data, is not sure about the exactness of the grades assigned to its members. It is concluded that the suitable combination of two or more theories related to FSs give better assessment outcomes in general. Examples are also presented on student assessment illustrating our results. پرونده مقاله