Object Identification When Imprecise Information is Available from Multiple Sources of Unequal Reliability

Article type: Research Article

Authors: Kleyle, R. | de Korvin, A.

Affiliations: Department of Mathematical Sciences, Indiana University – Purdue, University at Indianapolis, Indianapolis, Indiana 46202-3216 | Department of Applied Mathematical Sciences, University of Houston – Downtown, Houston, Texas 77002

Abstract: In this article we consider the problem of object identification when there is imprecise and perhaps conflicting information from information sources of unequal reliability. Data is represented by fuzzy sets, and the decision set in which the value of this imprecise information is modified by its importance in the context of the specific problem at hand is a type II fuzzy set in which the memberships are themselves fuzzy sets. Three criteria are proposed for making the classification based on the information contained in this type II fuzzy set. A simple example illustrates the procedure.

DOI: 10.3233/IFS-1994-2207

Journal: Journal of Intelligent and Fuzzy Systems, vol. 2, no. 2, pp. 191-199, 1994