ELECTRE I-based group decision methodology with risk preferences in an imprecise setting for flexible manufacturing systems
A new hesitant fuzzy set (HFS)-ELECTRE for multi-criteria group decision-making (MCGDM) problems is developed in this paper. In real-world applications, the decision makers (DMs)’ opinions are often hesitant for decision problems; thus, considering the exact data is difficult. To address the issue, the DMs’ judgments can be expressed as linguistic variables that are converted into the HFSs, considered as inputs in the ELECTRE method. Meanwhile, an appropriate tool among the fuzzy sets theory and their extensions is the HFSs since the DMs can assign their judgments for an alternative under the evaluation criteria by some membership degrees under a set to decrease the errors. Introduced hesitant fuzzy ELECTRE (HF-ELECTRE) method is elaborated based on the risk preference of each DM with assigning some degrees. Moreover, the weight of each DM is computed and implemented in the proposed procedure to reduce judgments’ errors. Then, a new discordance HF index is provided. Pair-wise comparisons are used for outranking relations regarding HF information. Finally, the validation and verification of the proposed HF-ELECTRE method are demonstrated in a practical example of FMSs.
A Multicriteria Group Decision Model Aggregating the Preferences of Decision-makers Based on Electre Methods
Often decisions taken in organizations are made by a group of people, and in order to build a collective decision, the preferences of individuals must be considered. The two most useful approaches to aggregating individual preferences are the aggregation of individual judgments and the aggregation of individual priorities. This paper focuses on the latter approach and proposes a multicriteria g...متن کامل
Extensions of ELECTRE-I and TOPSIS methods for group decision-making under complex Pythagorean fuzzy environment
Multi-criteria group decision-making is a process in which decision makers assess the performance of alternatives on the basis of conflicting criteria to opt the most worthy alternative as solution. TOPSIS and ELECTRE are effective and commonly used methods to solve multiple criteria decision-making problems. The aim of this study is to propose two new models, namely, complex Pythagorean fuzzy ...متن کامل
Group decision is usually understood as the reduction of different individual preferences on a given set to a single collective preference. At present, there are few approaches which solve the group ranking problem with multiple criteria in a widely acceptable way. Often, they rest on a poor heuristic which makes a decision about consensus ranking difficult to support. This paper presents an ex...متن کامل
Many real-world decision problems involve conflicting systems of criteria, uncertainty and imprecise information. Some also involve a group of decision makers (DMs) where a reduction of different criteria decisions by making the process more explicit, rational and efficient. One family of MCDA models uses what is known as ‘‘outranking relations’’ to rank a set of actions. The Electre method and...متن کامل
Purpose – To provide a good insight into the use of analytic hierarchy process (AHP) that is a multiple criteria decision-making methodology in evaluating flexible manufacturing systems (FMSs). Design/methodology/approach – In this study AHP is used to the decision by a tractor manufacturing plant to implement FMS. Also sensitivity analysis is conducted to see how realistic the final outcome is...متن کامل
The concept of flexible manufacturing is highly appealing in gaining a competitive edge in the market by quickly adapting to the changing customer needs. Scheduling jobs on flexible manufacturing systems (FMSs) is a challenging task of managing the available flexibility on the shop floor to react to the dynamics of the environment in real-time. In this paper, an agent-oriented scheduling framew...متن کامل
دوره 14 شماره 2
صفحات 239- 253
تاریخ انتشار 2021-07-01
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