Soft expert sets

Shawkat Alkhazaleh, Abdul Razak Salleh

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

In 1999, Molodtsov introduced the concept of soft set theory as a general mathematical tool for dealing with uncertainty. Many researchers have studied this theory, and they created some models to solve problems in decision making and medical diagnosis, but most of these models deal only with one expert. This causes a problem with the user, especially with those who use questionnaires in their work and studies. In our model, the user can know the opinion of all experts in one model. So, in this paper, we introduce the concept of a soft expert set, which will more effective and useful. We also define its basic operations, namely, complement, union intersection AND, and OR. Finally, we show an application of this concept in decision-making problem.

Original languageEnglish
Article number757868
JournalAdvances in Decision Sciences
Volume2011
DOIs
Publication statusPublished - 2011

Fingerprint

Decision making
Decision Making
Soft Set
Set Theory
Set theory
Model
Questionnaire
Union
Complement
Intersection
Uncertainty
Concepts
Medical diagnosis

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Applied Mathematics
  • Computational Mathematics
  • Statistics and Probability

Cite this

Soft expert sets. / Alkhazaleh, Shawkat; Salleh, Abdul Razak.

In: Advances in Decision Sciences, Vol. 2011, 757868, 2011.

Research output: Contribution to journalArticle

Alkhazaleh, Shawkat ; Salleh, Abdul Razak. / Soft expert sets. In: Advances in Decision Sciences. 2011 ; Vol. 2011.
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