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Automorphisms on normal and convex fuzzy truth values revisited
- Source :
- Fuzzy Sets and Systems. 431:143-159
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- The present paper extends some previous works studying automorphisms in type-2 fuzzy sets. The framework for the analysis is the set of convex and normal functions from [ 0 , 1 ] to [ 0 , 1 ] (fuzzy truth values). The paper concentrates on those automorphisms that, in this framework, leave the constant function 1 fixed. This function is quite important since it defines the boundary between the functions that represent “TRUE” (increasing functions) and those that represent “FALSE” (decreasing functions), being at the same time the only normal function that is simultaneously increasing and decreasing. While C.L. Walker, E.A. Walker and J. Harding introduced in 2008 a family of functions leaving the constant function 1 fixed, the main goal of this paper is to prove that the functions of that family are in fact automorphisms, and moreover, that they are the only automorphisms (in the mentioned set of convex and normal functions from [ 0 , 1 ] to [ 0 , 1 ] ) that preserve the function 1.
- Subjects :
- 0209 industrial biotechnology
Pure mathematics
Logic
Fuzzy set
Normal function
Regular polygon
Boundary (topology)
02 engineering and technology
Function (mathematics)
Automorphism
Set (abstract data type)
020901 industrial engineering & automation
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Constant function
Mathematics
Subjects
Details
- ISSN :
- 01650114
- Volume :
- 431
- Database :
- OpenAIRE
- Journal :
- Fuzzy Sets and Systems
- Accession number :
- edsair.doi...........cc3e587aa9c4f881070d40b5767e02e2