The Karush-Kuhn-Tucker Optimality Conditions for the Fuzzy Optimization Problems in the Quotient Space of Fuzzy Numbers
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-07
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We propose the solution concepts for the fuzzy optimization problems in the quotient space of fuzzy numbers.
The Karush-Kuhn-Tucker (KKT) optimality conditions are elicited naturally by introducing the Lagrange function multipliers.
The effectiveness is illustrated by examples.
American Psychological Association (APA)
Yu, Nanxiang& Qiu, Dong. 2017. The Karush-Kuhn-Tucker Optimality Conditions for the Fuzzy Optimization Problems in the Quotient Space of Fuzzy Numbers. Complexity،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1142526
Modern Language Association (MLA)
Yu, Nanxiang& Qiu, Dong. The Karush-Kuhn-Tucker Optimality Conditions for the Fuzzy Optimization Problems in the Quotient Space of Fuzzy Numbers. Complexity No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1142526
American Medical Association (AMA)
Yu, Nanxiang& Qiu, Dong. The Karush-Kuhn-Tucker Optimality Conditions for the Fuzzy Optimization Problems in the Quotient Space of Fuzzy Numbers. Complexity. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1142526
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142526
