The role of distance and similarity in Bonissone's linguistic approximation method - a numerical study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33159924" target="_blank" >RIV/61989592:15310/16:33159924 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The role of distance and similarity in Bonissone's linguistic approximation method - a numerical study
Original language description
Linguistic approximation is a common way of translating the outputs of mathematical models in the expressions in common language. These can then be presented to decision makers who have difficulties with interpretations of numerical outputs of formal models as an easy-to-understand alternative. Linguistic approximation is a tool to stress, modify or effectively convey meaning. As such it is an important yet neglected area of research in management science and decision support. During the last forty years a large number of different methods for linguistic approximation were proposed. In this paper we investigate in detail the linguistic approximation method proposed by Bonissone (1979). We focus on its performance under different "fit" measures in its second step - we consider various distance and similarity measures of fuzzy sets to choose the most appropriate linguistic approximation. We conduct a numerical study of the performance of this linguistic approximation method, present its results and discuss the impact of a particular choice of a "fit" measure.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-02424S" target="_blank" >GA14-02424S: Methods of operations research for decision support under uncertainty</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 34th International Conference on Mathematical Methods in Economics MME 2016
ISBN
978-80-7494-296-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
845-850
Publisher name
Technická univerzita v Liberci
Place of publication
Liberec
Event location
Liberec
Event date
Sep 6, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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