In this paper we propose a generalization of the standard clustering problem, which we call Structural Constrained Clustering (SCC) problem. In SCC problem, the cluster interconnections are given by a binary relation R. If this relation is empty then SCC problem reduces to the standard classificatio
Fuzzy arithmetic with requisite constraints
β Scribed by George J. Klir
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 617 KB
- Volume
- 91
- Category
- Article
- ISSN
- 0165-0114
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β¦ Synopsis
The purpose of this paper is to show that the standard fuzzy arithmetic does not take into account known constraints when applied to states of linguistic variables. These constraints, referred to as requisite constraints, represent additional information. When they are ignored, as in the standard fuzzy arithmetic, the obtained results exhibit, in general, information deficiency. It is thus important, as argued in the paper, to revise fuzzy arithmetic to take relevant requisite constraints into account. Some typical requisite constraints are overviewed, with a more extensive examination of the requisite equality constraint (crisp or fuzzy).
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