Journal article
Fuzzy confidence intervals
Fuzzy sets and systems, v 10(1), pp 281-290
01 Jan 1983
Abstract
Fuzzy numbers have heretofore been conceived simply as convex fuzzy subsets of the real line, especially in the context of possibility theory. This paper proposes an alternative interpretation of fuzzy numbers: fuzzy confidence intervals. This number concept is particularly appropriate to problems of optimization with a fuzzy objective function or fuzzy constraints, and it is clearly free of some ambiguities or contradictions in possibility theory. The membership indices are not assumed to be numerical. Numerical examples of the construction of fuzzy confidence intervals from uncertain hypotheses are given.
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Details
- Title
- Fuzzy confidence intervals
- Creators
- Roger A. McCain - Fordham University
- Publication Details
- Fuzzy sets and systems, v 10(1), pp 281-290
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Economics (School of Economics)
- Web of Science ID
- WOS:A1983QX31600006
- Scopus ID
- 2-s2.0-0020789684
- Other Identifier
- 991021807102004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Theory & Methods
- Mathematics, Applied
- Statistics & Probability