ELECTRE I Method Using Hesitant Linguistic Term Sets: An Application to Supplier Selection

نویسندگان

  • Ali Fahmi
  • Cengiz Kahraman
  • Ümran Bilen
چکیده

Decision making is a common process in human activities. Every person or organization needs to make decisions besides dealing with uncertainty and vagueness associated with human cognition. The theory of fuzzy logic provides a mathematical base to model the uncertainities. Hesitant fuzzy linguistic term set (HFLTS) creates an appropriate method to deal with uncertainty in decision making. Managerial decision making generally implies that decision making process conducts multiple and conflicting criteria. Multi criteria decision analysis (MCDA) is a widely applied decision making method. Outranking methods are one type of MCDA methods which facilitate the decision making process through comparing binary relations in order to rank the alternatives. Elimination et Choix Traduisant la Réalité (ELECTRE), means elimination and choice that translates reality, is an outranking method. In this paper, an extended version of ELECTRE I method using HFLTS is proposed. Finally, a real case problem is provided to illustrate the HFLTS-ELECTRE I method.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Supplier Selection in Grey Environment: A Grey, AHP, Bulls-Eye and ELECTRE Approach

In recent years, the problem of selecting and evaluating the suppliers in supply chain management has aroused considerable interest in business firms. Owing to the development of information systems, reaching an appropriate decision for adopting discrete methods is a need. The researchers intend to present a new model in this paper as a contributing factor in the grey environment in which the r...

متن کامل

Supplier Selection in Grey Environment: A Grey, AHP, Bulls-Eye and ELECTRE Approach

In recent years, the problem of selecting and evaluating the suppliers in supply chain management has aroused considerable interest in business firms. Owing to the development of information systems, reaching an appropriate decision for adopting discrete methods is a need. The researchers intend to present a new model in this paper as a contributing factor in the grey environment in which the r...

متن کامل

Comparative Analysis of Multi-criteria Evaluation of Sustainable Supplier Selection Problem Based on Hesitant Fuzzy Linguistic Term Sets

The sustainable supplier selection process requires consideration of multi-criteria evaluations. In recent years, to prevent the hesitation of different linguistic expressions by the decision makers, and to help the selection of the best one as the solution of different alternatives, researchers have been using several methods such as hesitant fuzzy linguistic term sets (HFLTS), hesitant fuzzy ...

متن کامل

A New Balancing and Ranking Method based on Hesitant Fuzzy Sets for Solving Decision-making Problems under Uncertainty

The purpose of this paper is to extend a new balancing and ranking method to handle uncertainty for a multiple attribute analysis under a hesitant fuzzy environment. The presented hesitant fuzzy balancing and ranking (HF-BR) method does not require attributes’ weights through the process of multiple attribute decision making (MADM) under hesitant conditions. For the rating of possible alternati...

متن کامل

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, con...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Int. J. Computational Intelligence Systems

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2016