Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
Qualitative Aggregation of Information in Fuzzy Attribute Model
Authors: V. Levchenko, Savinov Alexandr
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Abstract
In the paper a qualitative approach to the problem of aggregation of information is discussed. The method is based on the notion of fuzzy attribute model of the aggregation problem in which information is represented in the form of fuzzy constraints on the values of attributes. The aggregate is built by carrying out logical inference on the knowledge base which represents the decision maker preferences in the form of fuzzy logical dependencies between attributes.V. Levchenko, A. Savinov,
Institute of Mathematics,
Laboratory of Artificial Intelligence Systems,
Academy of Sciences, Moldova
5, Academiei str., Kishinev,
277028, Moldova
Phone: (373+2) 73-81-46
e-mail: ,
Institute of Mathematics,
Laboratory of Artificial Intelligence Systems,
Academy of Sciences, Moldova
5, Academiei str., Kishinev,
277028, Moldova
Phone: (373+2) 73-81-46
e-mail: ,
Fulltext
– 0.13 Mb
Contents
- Researches in Artificial Intelligence in Republic of Moldova
- CAPRICE: knowledge acquisition tool based on game approach
- The intellectual hypertext for knowledge transfer
- Modificated repertory grid procedure for attribute problem domains
- Logical recognition in the space of multivalued attributes
- Fuzzy logic foundations of optimal inference
- A form of multidimensional averiging functions satisfying the property of associativity
- Hybrid technology for collective expertise
- Qualitative Aggregation of Information in Fuzzy Attribute Model
- Abstracts of Ph.D. theses defended by the collaborators and post graduates of the Laboratory of Artificial Intelligence Systems of the Institute of Mathematics ASM
- List of scientific conferences, schools and workshops
