Title :
The voting-type technique in the refinement of multiple expert knowledge
Author :
Puuronen, Seppo ; Terziyan, Vagan
Author_Institution :
Jyvaskyla Univ., Finland
Abstract :
The goal of this paper is to develop methods to handle inconsistent knowledge elicited from multiple sources. Knowledge is represented using predicates that define relationships within three sets: domain objects, concepts, and knowledge sources. Sources express their comprehension of the use of each concept to describe each object by giving their votes: yes, no, and no-op. We also derive and interpret internal relations between any pair of subsets of the same type taken of the three sets: objects, concepts, and sources. We refer to the relations between any two subsets of different types as external relations. Intersections between the sets are interpreted as multilevel structures of knowledge and they are used for knowledge refinement. The refinement technique presented is based on the derivation of the most supported opinion of the group of experts and refitting it further using a multilevel structure of knowledge sources
Keywords :
knowledge acquisition; knowledge representation; concepts; domain objects; knowledge elicitation; knowledge refinement; knowledge sources; multilevel structures; multiple expert knowledge refinement; predicates; voting-type technique; Expert systems; Knowledge acquisition; Knowledge based systems; Logic; Neural networks; Pathology; Statistical analysis; Voting; Waste materials;
Conference_Titel :
System Sciences, 1997, Proceedings of the Thirtieth Hawaii International Conference on
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-7743-0
DOI :
10.1109/HICSS.1997.663355