The TODIM is a valuable technique for solving classical MCDM problems in case of considering the decision maker’s psychological behavior. One main goal of this chapter is to introduce the measured functions-based hesitant fuzzy TODIM technique to deal with the behavioral MCDM problem under hesitant fuzzy environments. The main advantages of this technique are that (1) it can handle the MCDM pro...

A supply chain is a network of entities directly or indirectly interlinked and interdependent in performing activities in moving a product or service from supplier to customer. In recent times, the role of purchasing in supply chain continues to receive growing attention. The supplier selection process is a multi-objectives problem, encompassing many tangible and intangible factors include quan...

The accurate selection of a processing plant site can result in decreasing total mining cost. This problem can be solved by multi-criteria decision-making (MCDM) methods. This research introduces a new approach by integrating fuzzy AHP and gray MCDM methods to solve all decision-making problems. The approach is applied in the case of a copper mine area. The critical criteria are considered adja...

in today’s highly competitive manufacturing environment, an effective supplier selection process is very important for the success of any business organization. selection of the best supplier is always a difficult task for the purchasing manager. suppliers have varied strengths and weaknesses which require careful assessment by the purchasing manager before selecting and ranking them. any suppl...

A multi-criteria decision making (MCDM) method, as its own name suggests, is for use in situations when more than one criterion must be considered. In this work, we will focus on the Analytic Hierarchy Process (AHP), one of the well-known and most widely used MCDM approaches. Despite the extensive application of this method in various fields of decision making, AHP has been combined within unce...

wastewater planning management is a complex problem involving agricultural, rural and industrial interests. in countries facing rapid population growth, identifying methods that can allow them to take good decisions among several competitive alternatives is of utmost importance. the purpose of this paper is to present a methodology for a wastewater planning management system using a multi-c...

Supplier selection is a typical multi-criteria decision making(MCDM) problem and lots of uncertain information exist inevitably. To address this issue, a new method was proposed based on interval data fusion. Our method follows the original way to generate classical basic probability assignment(BPA) determined by the distance among the evidences. However, the weights of criteria are kept as int...

This paper proposes the application of Meta-Learning Evolutionary Artificial Neural Network (MLEANN) in selecting flexible manufacturing systems (FMS) from a group of candidate FMS’s. First, multi-criteria decisionmaking (MCDM) methodology using an improved S-shaped membership function has been developed for finding out the “best candidate FMS alternative” from a set of candidate-FMSs. The MCDM...

In helping consumers to make a wise decision in purchasing a personal computer (PC), the use of multi-criteria decision analysis methods is a way to provide ranking of the attributes of PCs and to construct the computer preference index (CPI). This paper employs the Rank Ordered Centroid (ROC) method to do the ranking. The findings reveal that the most important attribute is the CPU, followed b...

Evaluating alignments for a transportation corridor is a complex process that involves many decision makers and stakeholders. Capturing input about important considerations is vital to the process of alignment selection and is an iterative process. Multi-Criteria Decision Making (MCDM) provides a systematic methodology to compare, select, and rank multiple alternatives using disparate data sour...