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Issue:A method for inference in approximate reasoning based on normal intuitionistic fuzzy sets

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Title of paper: A method for inference in approximate reasoning based on normal intuitionistic fuzzy sets
Author(s):
Humberto Bustince
Departamento de Automatica y Computación, Public University of Navarra, 31006, Campus Arrosadía, Pamplona, Spain
bustince@si.upna.es
Pedro Burillo
Departamento de Automatica y Computación, Public University of Navarra, 31006, Campus Arrosadía, Pamplona, Spain
pburillo@si.upna.es
Victoria Mohedano
Departamento de Automatica y Computación, Public University of Navarra, 31006, Campus Arrosadía, Pamplona, Spain
vmohedano@si.upna.es
Published in: "Notes on IFS", Volume 1 (1995) Number 1, pages 51—55
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Abstract: This paper introduces a method of approximate inference, which operates with normal intuitionistic fuzzy sets. We give a definition of degree of compatibility between intuitionistic fuzzy sets and we present a method for the construction of these sets. Lastly we present the method of inference in approximate reasoning with normal intuitionistic fuzzy sets and we study its most immediate properties.
Keywords: Fuzzy set, Intuitionistic fuzzy set, Approximate reasoning, Fuzzy inference, Inference methods
References:
  1. K. Atanassov, Intuitionistic fuzzy sets, VII ITKR Session, Deposed in Central Sci.- Techn. Library of Bulg. Acad. of Sci., Sofia June (1983), 1697-84
  2. H. Bustince, Conjunctos Intuicionisticas c Intervalo valorados Difusos: Propiedades y Construccion. Relaciones Intuicionisticas Fuzzy. Thesis Universidad Publica de Navarra, (1994).
  3. I. B. Turksen, Approximate reasoning for production planning, Fuzzy Sets and Systems, 26 (1988) 23-27
  4. L. A. Zadeh, Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans. Systems, Man, Cybernet. 1 (1973) 28-44
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