Abstract

The convexity in triangular norm (for short, ⊗−convexity) is a generalization of Zadeh’s quasiconvexity. The aggregation of two ⊗−convex sets is under the aggregation operator ⊗ is also ⊗−convex, but the aggregation operator ⊗ is not unique. To solve it in complexity, in the present paper, we give some sufficient conditions for aggregation operators preserve ⊗−convexity. In particular, when aggregation operators are triangular norms, we have that several results such as arbitrary triangular norm preserve ⊗ D − convexity and ⊗ a − convexity on bounded lattices, ⊗ M preserves ⊗ H − convexity in the real unite interval [ 0 , 1 ] .

Highlights

  • Fuzzy set theory introduced by Zadeh in 1965, as an mathematical tool to deal with uncertainty in information system and knowledge base, has been widely used in various fields of science and technology

  • The above condition is called intersection preserving quasiconvexity. This property is true for lattice valued fuzzy sets

  • Which are the properties of a lattice L and an aggregation A, such that A preserves quasiconvexity

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Summary

Introduction

Fuzzy set theory introduced by Zadeh in 1965, as an mathematical tool to deal with uncertainty in information system and knowledge base, has been widely used in various fields of science and technology. The above condition is called intersection preserving quasiconvexity. This property is true for lattice valued fuzzy sets. Suppose ⊗ : [0, 1]2 → [0, 1] is a triangular norm, Nourouzi [10] given the concept of ⊗−convex set which generalized Zadeh’s quasiconvex fuzzy set. Following [7,10], in the present paper, we continue to study sufficient conditions for aggregation operators and triangular norms that preserve ⊗−convexity on a bounded lattice.

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