Inverse fuzzy soft set and its application in decision making

Ahmed Mostafa Khalil, Nasruddin Hassan

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Molodtsov introduced the theory of soft sets, which can be seen as a new mathematical approach to vagueness. In this paper, we introduce a new soft set called an inverse fuzzy soft set, along with its properties, characteristics, and operations. Then we construct an algorithm using max-min and min-max decision of inverse fuzzy soft set for a fuzzy decision-making problem. Finally, we apply the algorithm to two decision-making problems to illustrate its applicability. It is shown that our proposed approach is viable and provides decision makers a more mathematical insight before making decisions on their options.

Original languageEnglish
Pages (from-to)73-92
Number of pages20
JournalInternational Journal of Information and Decision Sciences
Volume11
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

Decision making
Decision maker
Vagueness

Keywords

  • Algorithm
  • Decision making
  • Inverse fuzzy soft set
  • Inverse soft set

ASJC Scopus subject areas

  • Computer Science Applications
  • Strategy and Management
  • Information Systems and Management
  • Management of Technology and Innovation

Cite this

Inverse fuzzy soft set and its application in decision making. / Khalil, Ahmed Mostafa; Hassan, Nasruddin.

In: International Journal of Information and Decision Sciences, Vol. 11, No. 1, 01.01.2019, p. 73-92.

Research output: Contribution to journalArticle

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