Interval-valued statistics, fuzzy logic, and their use in computational semantics

Article type: Research Article

Authors: Wu, Berlin | Sun, Ching-Min

Affiliations: Department of Mathematics, National Chengchi University, Taipei 11623, Taiwan, ROC | Department of Finance, Jen-Wen Institute of Technology, Taipei 231, Taiwan, ROC

Note: [] Corresponding author. E-mail: [email protected]

Abstract: In many expositions of fuzzy methods, fuzzy techniques are described as an alternative to a more traditional statistical approach. In this paper, we present a class of real-life situations in which fuzzy techniques can be naturally reformulated in statistical terms: namely, in terms of interval-valued statistics. We hope that this reformation will make the corresponding fuzzy techniques more acceptable to researchers whose only experience is in using traditional statistical methods.

Keywords: computational semantics, interval-valued statistics, fuzzy logic, degree of recognition

Journal: Journal of Intelligent & Fuzzy Systems, vol. 11, no. 1-2, pp. 1-7, 2001