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Issue:Direct and inverse problem resolution in intuitionistic fuzzy relational calculus: Difference between revisions

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(Created page with "{{PAGENAME}} {{PAGENAME}} {{PAGENAME}} {{PAGENAME}} {{issue/title | title = Direct and inverse problem resolution in intuitionistic fuzzy relational calculus | shortcut = nifs/8/3/37-42 }} {{issue/author | author = Ketty Peeva | institution = Faculty of Applied...")
 
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  | author          = Ketty Peeva
  | author          = Ketty Peeva
  | institution    = Faculty of Applied Mathematics, Technical University of Sofia  
  | institution    = Faculty of Applied Mathematics, Technical University of Sofia  
  | address        = Sofia-1000, P.O. Box 384, Bulgaria,
  | address        = Sofia-1000, P.O. Box 384, Bulgaria
  | email-before-at = kgp
  | email-before-at = kgp
  | email-after-at  = vmei.acad.bg
  | email-after-at  = vmei.acad.bg

Revision as of 13:54, 13 August 2024

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Title of paper: Direct and inverse problem resolution in intuitionistic fuzzy relational calculus
Author(s):
Ketty Peeva
Faculty of Applied Mathematics, Technical University of Sofia, Sofia-1000, P.O. Box 384, Bulgaria
kgp@vmei.acad.bg
Presented at: 6th ICIFS, Varna, 13—14 Sept 2002
Published in: Conference proceedings, "Notes on Intuitionistic Fuzzy Sets", Volume 8 (2002) Number 3, pages 37—42
Download:  PDF (4451  Kb, File info)
Abstract: We cover the direct problem resolution and the inverse problem resolution in intuitionistic fuzzy relational calculus. These two problems have not been solved up to now, cf. K. Atanasov [1].


References:
  1. K. Atanassov, Intuitionistic Fuzzy Sets, Physica-Verlag, Heidelberg New York, 1999.
  2. M. Burillo, H. Bustince, Intuitionistic fuzzy relations, Part I, Mathware and Soft Computing, 2 (1995) 5-38.
  3. J. A. Goguen, L-fuzzy sets, J. Math. Anal. Appl., 18 (1967) 145 — 174.
  4. K. Peeva, Resolution of composite intuitionistic fuzzy relational equations, Notes on Intuitionistic Fuzzy Sets, 6 (1) (2000), 15-24.
  5. E. Sanchez, Resolution of composite fuzzy relation equations, Information and Control 30 (1976) 38-48.
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