A Revised VIKOR Model for Multiple Criteria Decision Making - The Perspective of Regret Theory

نویسندگان

  • Jih-Jeng Huang
  • Gwo-Hshiung Tzeng
  • Hsiang-Hsi Liu
  • H.-H. Liu
چکیده

VIKOR is one of the multiple criteria decision making (MCDM) models to determine the preference ranking from a set of alternatives in the presence of conflicting criteria. The justification of VIKOR is to use the concept of the compromise programming to determine the preference ranking by the results of the individual and group regrets. However, VIKOR has a critical problem in deriving the preference ranking of alternative and this issue will be discussed later. In this paper, the perspective of regret theory is applied to explain the content of VIKOR and one revised model of VIKOR is proposed base on the concept of regret theory. Then, two examples are given to justify the proposed model and compare it with VIKOR and the regret model.

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

A New Compromise Decision-making Model based on TOPSIS and VIKOR for Solving Multi-objective Large-scale Programming Problems with a Block Angular Structure under Uncertainty

This paper proposes a compromise model, based on a new method, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. In this compromise programming method, two concepts are considered simultaneously. First of them is that the optimal ...

متن کامل

The OWA-VIKOR method for multiple attributive group decision making in 2-tuple linguistic setting

In order to process the assessment information more exactly and make the decision result more understandable in linguistic setting, a hybrid approach integrating OWA aggregation into VIKOR for multiple attributive group decision making in 2-tuple linguistic setting is proposed. In the method, the OWA is used to aggregate the linguistic assessment information. According to the ideas of VIKOR, th...

متن کامل

A Novel Hybrid Fuzzy Multi-Criteria Decision-Making Model for Supplier Selection Problem (A Case Study in Advertising industry)

Choosing the proper supplier has a critical role in design of supply chain. This problem is complicated because each supplier may fulfills some of the manufacturer criteria and choosing the best supplier is a Multiple-Criteria Decision Making problem. This paper proposes a novel hybrid approach to rank suppliers in advertising industry and considers two new criteria to evaluate the suppliers in...

متن کامل

A Compromise Decision-Making Model Based on TOPSIS and VIKOR for Multi-Objective Large- Scale Nonlinear Programming Problems with A Block Angular Structure under Fuzzy Environment

This paper proposes a compromise model, based on a new method, to solve the multiobjectivelarge scale linear programming (MOLSLP) problems with block angular structureinvolving fuzzy parameters. The problem involves fuzzy parameters in the objectivefunctions and constraints. In this compromise programming method, two concepts areconsidered simultaneously. First of them is that the optimal alter...

متن کامل

Prioritizing alternatives in strategic environmental assessment (SEA) using VIKOR method with random sampling for data gaps

This study suggests a framework to prioritize the plans in strategic environmental assessment (SEA) with incomplete information. The Monte Carlo method for the data gaps in SEA and the VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, which is a multicriteria decision analysis (MCDA) method, are used. The VIKOR method is used to prioritize the plans based on a number of decis...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009