Multiple-Criteria Evaluation in the Fuzzy Environment Using the FuzzME Software
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33157127" target="_blank" >RIV/61989592:15310/16:33157127 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-26986-3_9" target="_blank" >http://dx.doi.org/10.1007/978-3-319-26986-3_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-26986-3_9" target="_blank" >10.1007/978-3-319-26986-3_9</a>
Alternative languages
Result language
angličtina
Original language name
Multiple-Criteria Evaluation in the Fuzzy Environment Using the FuzzME Software
Original language description
This chapter describes a software tool for fuzzy multiple-criteria evaluation called FuzzME. The chapter will show the reader in an easy-to-read style how to apply the software for solving a broad range of fuzzy MCDM problems. The mathematical foundation on which the FuzzME software is built will be described and demonstrated on an example. The FuzzME implements a complete system of fuzzy methods. A common feature oif all these methods is the type of evaluation that is well-suited to the paradigm of fuzzy set theory. All evaluations in the presented models are in the form of fuzzy numbers expressing the extent to which goals of evaluation have been fulfilled. The system of fuzzy methods can deal with different types of interaction among criteria of evaluation. If there is no interaction among criteria, then either fuzzy weighted average, fuzzy OWA operator, or fuzzified WOWA operator is used to aggregate partial evaluations (depending on evaluator's requirements on the type of evaluation). If interactions among criteria are in the form of redundancy or complementarity, then fuzzified discrete Choquet integral is an appropriate aggregation operator. In case of more complex interactions, the aggregation function is described by an expertly defined base of fuzzy rules. The FuzzME also contains additional tools which make it possible to perform analysis of the designed evaluation model and to adjust it easily.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Fuzzy Technology
ISBN
978-3-319-26984-9
Number of pages of the result
20
Pages from-to
147-166
Number of pages of the book
225
Publisher name
Springer Basel
Place of publication
Basel
UT code for WoS chapter
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