Revised Max-Min Average Composition Method for Decision Making Using Intuitionistic Fuzzy Soft Matrix Theory
Joint Authors
Rathi, K.
Seshaiah, C. V.
Shanmugasundaram, P.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-20
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper a revised Intuitionistic Fuzzy Max-Min Average Composition Method is proposed to construct the decision method for the selection of the professional students based on their skills by the recruiters using the operations of Intuitionistic Fuzzy Soft Matrices.
In Shanmugasundaram et al.
(2014), Intuitionistic Fuzzy Max-Min Average Composition Method was introduced and applied in Medical diagnosis problem.
Sanchez’s approach (Sanchez (1979)) for decision making is studied and the concept is modified for the application of Intuitionistic fuzzy soft set theory.
Through a survey, the opportunities and selection of the students with the help of Intuitionistic fuzzy soft matrix operations along with Intuitionistic fuzzy max-min average composition method is discussed.
American Psychological Association (APA)
Shanmugasundaram, P.& Seshaiah, C. V.& Rathi, K.. 2014. Revised Max-Min Average Composition Method for Decision Making Using Intuitionistic Fuzzy Soft Matrix Theory. Advances in Fuzzy Systems،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-504450
Modern Language Association (MLA)
Shanmugasundaram, P.…[et al.]. Revised Max-Min Average Composition Method for Decision Making Using Intuitionistic Fuzzy Soft Matrix Theory. Advances in Fuzzy Systems No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-504450
American Medical Association (AMA)
Shanmugasundaram, P.& Seshaiah, C. V.& Rathi, K.. Revised Max-Min Average Composition Method for Decision Making Using Intuitionistic Fuzzy Soft Matrix Theory. Advances in Fuzzy Systems. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-504450
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504450