On fuzziness in information retrieval

✍ Scribed by C.V. Negoita; P. Flondor

• Publisher: Elsevier Science
• Year: 1976
• Weight: 358 KB
• Volume: 8
• Category: Article
• ISSN: 0020-7373
• DOI: 10.1016/s0020-7373(76)80032-6

✦ Synopsis

The IR systems are faced with a need to manage fuzziness and not merely to react to fuzziness. The indexing process is viewed as representing the set X of information items by fuzzy subsets o~'(Y) of the descriptor set Y. A fuzzy assignment is modelled as a system (X,Y,f:X-+o~'(Y))where f(x)0,) is the link between the information item x and the descriptor y. The grade of importance of a subset of descriptors is expressed by a fuzzy measure Ix: ~(Y)-+[0,1]. In this way syntax estimation is made possible by using a fuzzy integral ~f(x)(y)oix. The information items are ranked according to a new application X-+[0,1] induced by the global measure Ix. Finally, a descriptor is viewed as a fuzzy set.