Abstract

The paper analyses the problem of multiple attribute decision‐making (MADM) under fuzzy environment. In some cases the crisp value is inadequate to model real‐life situations. For this reason some fuzzy MADM methods have been developed. The extended TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution) to fuzzy environment is presented in the current paper. Weights and ratings of each criterion are described in triangular fuzzy numbers. The relative closeness to the ideal solution of each alternative is calculated applying different approaches that were presented in different scientific papers. A computational experiment is presented to compare the results of a multiple attribute analysis that uses three modifications of fuzzy TOPSIS method in a particular situation.

Highlights

  • The paper analyses the problem of multiple attribute decision-making

  • to fuzzy environment is presented in the current paper

  • Weights and ratings of each criterion are described in triangular fuzzy numbers

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Summary

Introduction

Todël verta taikyti tokius sprendimø priëmimo metodus, kuriuose galimas informacijos trûkumas ieðkant sprendimo. Taikant klasikinius daugiatikslius sprendimø priëmimo metodus, kyla dar viena problema – kiekybinës ir kokybinës informacijos derinimas. Galima atlikti operacijas su kiekybiniais ir kokybiniais kintamaisiais, lingvistinius kintamuosius transformuoti á neapibrëþtø skaièiø formà. Neapibrëþtøjø aibiø teorijos elementø integravimo á daugiatikslius sprendimo priëmimo metodus metodologinius principus pasiûlë Triantaphyllou ir Lin [4, 5]. Norint taikyti neapibrëþtøjø aibiø teorijà praktiniam daugiatiksliam alternatyvø ávertinimui, reikia nustatyti uþdavinio sprendimo metodikos átakà rezultatams.

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