Fuzzy Methods of Multiple-Criteria Evaluation and Their Software Implementation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F12%3A33141812" target="_blank" >RIV/61989592:15310/12:33141812 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.4018/978-1-61350-429-1.ch021" target="_blank" >http://dx.doi.org/10.4018/978-1-61350-429-1.ch021</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4018/978-1-61350-429-1.ch021" target="_blank" >10.4018/978-1-61350-429-1.ch021</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy Methods of Multiple-Criteria Evaluation and Their Software Implementation
Original language description
This chapter describes a system of fuzzy methods designed to solve a broad range of problems in multiple-criteria evaluation, and also their software implementation, FuzzME. A feature common to all the presented methods is the type of evaluation, well suited to the paradigm of fuzzy set theory. All evaluations take on the form of fuzzy numbers, expressing the extent to which goals of evaluation are fulfilled. The system of fuzzy methods is conceived to allow for different types of interaction among criteria of evaluation. Under no interaction, the fuzzy weighted average, fuzzy OWA operator, or WOWA operator are used to aggregate partial evaluations (depending on the evaluator's requirements regarding type of evaluation). If interactions appear as redundancy or complementarity, the fuzzified discrete Choquet integral is the appropriate aggregation operator. Under more complex interactions, the aggregation function is defined through an expertly set base of fuzzy rules.
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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies
ISBN
978-1-61350-429-1
Number of pages of the result
24
Pages from-to
388-411
Number of pages of the book
784
Publisher name
IGI Global
Place of publication
Hershey, USA
UT code for WoS chapter
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