Metoda k řešení fuzzy MCDM probllémů se závislými kritérii

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F08%3A%230000118" target="_blank" >RIV/47813059:19520/08:#0000118 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

A Method for Solving Fuzzy MCDM Problems with Dependent Criteria

Popis výsledku v původním jazyce

The main goal of every economic agent is to make a good decision, especially in economic and business environment with many investment alternatives and evaluation criteria. In this paper a new decision model based on analytic network process is proposed.Comparing to classical approach it is modified for solving the decision making problem with fuzzy pair-wise comparisons and a feedback between the criteria. The evaluation of the weights of criteria, the variants as well as the feedback between the criteria is based on the data given in pair-wise comparison matrices with fuzzy elements. Extended arithmetic operations with fuzzy numbers are proposed as well as ordering fuzzy relations to compare fuzzy outcomes. An illustrating numerical example is presented to clarify the methodology. A special SW FVK was developed for applying the proposed method. Comparing to other software products, FVK is free, able to work with fuzzy data and utilizes capabilities of widespread spreadsheet Microsof

Název v anglickém jazyce

A Method for Solving Fuzzy MCDM Problems with Dependent Criteria

Popis výsledku anglicky

The main goal of every economic agent is to make a good decision, especially in economic and business environment with many investment alternatives and evaluation criteria. In this paper a new decision model based on analytic network process is proposed.Comparing to classical approach it is modified for solving the decision making problem with fuzzy pair-wise comparisons and a feedback between the criteria. The evaluation of the weights of criteria, the variants as well as the feedback between the criteria is based on the data given in pair-wise comparison matrices with fuzzy elements. Extended arithmetic operations with fuzzy numbers are proposed as well as ordering fuzzy relations to compare fuzzy outcomes. An illustrating numerical example is presented to clarify the methodology. A special SW FVK was developed for applying the proposed method. Comparing to other software products, FVK is free, able to work with fuzzy data and utilizes capabilities of widespread spreadsheet Microsof

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/GA402%2F06%2F0431" target="_blank" >GA402/06/0431: Výzkum a další rozvoj metod vícekriteriálního rozhodování a jejich uplatnění ve veřejném sektoru</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2008

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Joint 4-th International Conference on Soft Computing and Intelligent Systems and 9-th International Symposium on advanced Intelligent Systems

ISBN

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ISSN

1880-3741

e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

Nagoya University

Místo vydání

Nagoya

Místo konání akce

Nagoya

Datum konání akce

1. 1. 2008

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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