Hierarchical IF-Inference Systems for Local Sustainable Development Management

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F10%3A39881973" target="_blank" >RIV/00216275:25410/10:39881973 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Hierarchical IF-Inference Systems for Local Sustainable Development Management
Original language description
The paper presents basic notions of IF-sets introduced by K.T. Atanassov and the design of new hierarchical IF-inference systems of Mamdani type for the modelling of decision processes. We propose a tree hierarchical IF-inference system which can serve as a decision support system in the management of local sustainable development. The possibility to model both the uncertainty and the relationships in the complex system of local sustainable development represent the main advantages of this system. It provides stronger possibility to accommodate imprecise information compared to fuzzy inference systems and, at the same time, the number of if-then rules is reduced by using a tree hierarchical structure. The relationships among sustainable development indicators and their weights are incorporated through the expert opinions.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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