In trying to make a satisfactory decision when imprecise and multicriteria situations are involved, a decision maker has to use a fuzzy multicriteria decision making method. "Fuzzy Multi-Criteria Decision Making" (MCDM) presents fuzzy multiattribute and multiobjective decision-making methodologies by distinguished MCDM researchers. In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, this work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.

Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments

https://isiarticles.com/bundles/Article/pre/pdf/25112.pdf

Applying possibilistic linear programming to aggregate production planning

https://isiarticles.com/bundles/Article/pre/pdf/25140.pdf

Distribution planning decisions using interactive fuzzy multi-objective linear programming

Design and planning under uncertainty: issues on problem formulation and solution

A supply chain is defined as an integrated system that coordinates a series of inter-connected business processes in order to: (1) obtain raw materials and parts; (2) convert these raw materials and parts into finished products; (3) distribute these products to retailers or consumers; (5) expedite information flow among various business entities; (e.g. suppliers, manufacturers, distributers, 3PLs, and consumers). The major objective of it is to enhance the operational productivity, profitability, and competitiveness of whole supply chain members. There are various classification schemes to categorize supply chain models respect to a wide spectrum of the supply chain concept. Min and Zhou (2002) classified supply chain models to four categories: (1) deterministic (non-probabilistic); (2) stochastic (probabilistic); (3) hybrid; (4) IT-driven. Deterministic models assume that all the model parameters are certainly known and fixed, while stochastic models take into account the uncertain and random parameters.

Mohammad L. Hussein

Papers

A fuzzy dynamic approach to the multicriterion resource allocation problem

Complete solutions of multiple objective transportation problems with possibilistic coefficients

Decomposition of multiobjective programming problems by hybrid fuzzy-dynamic programming

An algorithm for generating efficient solutions of multiobjective dynamic programming problems

An algorithm for decomposing the parametric space in multiobjective dynamic programming problems