one of important problems in supply chains management is supplier selection. in a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...

Due to the increasing competition of globalization, selection of the most appropriate supplier is one of the key factors for the success of a supply chain management. Due to conflicting evaluations and insufficient information about the criteria, Intuitionistic fuzzy sets (IFSs) are considered as an impressive tool and utilized to specify the relative importance of the criteria. The aim of this...

There are varieties of QFD combination forms available that can help management to choose the right model for his/her types of problem. The proposed MOCC-QFD-FMEA model is a right model to include variety of objectives as well as the risk factors into the model of the problem. Due to the fact that the model also takes into consideration the concept of Fuzzy set, it further allows management...

many of the so-called organizational strategies on which companies are dependent, are not endurable. these strategies may not be well structured and cannot stand the test of time. thus, making the right decision is extremely important for strategic planning. the proposed strategy formulation framework in this paper (fuzzy bsq) is a powerful management tool in strategic planning that integrates ...

Supplier selection problem is an important issue in supply chain management and includes both tangible and intangible factors. Within the effect of the intangible factors, decision making in supplier selection problem includes a high degree of fuzziness and uncertainties in practice. In academic research to handle this uncertainty and vagueness, Fuzzy Set Theory is used as an effective tool. Th...

This paper aims to extend fuzzy MULTIMOORA with linguistic reasoning and group decision-making (MULTIMOORA-FG). The new method consists of the three parts, namely the fuzzy Ratio System, the fuzzy Utopian Reference Point, and the fuzzy Full Multiplicative Form offering a robust comparison of alternatives against multiple objectives. In addition, MULTIMOORA-FG is designed to deal with triangular...

When dealing with problems more than two objectives, sophisticated multi-objective optimization algorithms might be needed. Pareto optimization, which is based on the concept of dominated and non-dominated solutions, most widely utilized method when comparing solutions within a setting. However, in context where three or objectives are involved, effectiveness dominance approaches to drive conve...