in this study, an outsourcer evaluation and management system is developed for a manufacturing company by use of fuzzy goal programming (fgp). a first phase of the methodology evaluation criteria for outsources and the objectives of the company are determined. considering the fuzziness in the decision data, linguistic variables that can be expressed in generalized fuzzy number are used. the pro...

We propose a generalized approach to the already existing crisp methods to solve the fuzzy multiattribute decision making problem. Specifically we deal with four methods, namely Simple Additive Weighting, Linear Assignment, TOPSIS and ELECTRE, where fuzzy numbers are used to represent the ratings of the alternatives and relative weights of the attributes. Through the use of fuzzy mathematics we...

Abstract Manufacturing relocation decisions are complex because they involve combinations of location modes like offshoring or reshoring, and governance insourcing outsourcing. Furthermore, the uncertainty involved in decision-making process makes it challenging to reach a right-shoring decision. This study presents hybrid fuzzy-AHP-TOPSIS model support generic decisions. Industry experts were ...

Abstract Reinforcement learning (RL) techniques nurture building up solutions for sequential decision-making problems under uncertainty and ambiguity. RL has agents with a reward function that interacts dynamic environment to find out an optimal policy. There are associated like the should be specified in advance, design difficulties unable handle large complex problems, etc. This led developme...

The purpose of this study is to make the case for the utility of decision support systems (DSS) in the diagnosis of malaria and to conduct a case comparison of the effectiveness of the fuzzy and the AHP methodologies in the medical diagnosis of malaria, in order to provide a framework for determining the appropriate kernel in a fuzzy–AHP hybrid system. The combination of inadequate expertise an...

At present, more and more attentions have been paid to dam risk management around the world. In order to deal with the fuzziness and randomness of dam failure, the cloud model was introduced into the risk assessment of dam failure, which was combined with Analytic Hierarchy Process(AHP) method and fuzzy theory, and then the multilevel fuzzy comprehensive assessment of dam failure risk was reali...

ABSTRACT: Selecting transport equipment is one of the most important and basic parts in the planning of every project, particularly mining projects due to holding a high charge of the total project's cost. So it can affect the fact that the project is economical or not. Criteria and a variety of parameters have an influence on the selection of equipment, while these criteria often are in confli...

Supplier selection, in real situation, is affected by several qualitative and quantitative factors and is one of the most important activities of purchasing department. Since at the time of evaluating suppliers against the criteria or factors, decision makers (DMS) do not have precise, exact and complete information, supplier selection becomes more difficult. In this case, Grey theory helps us ...