Soft Expert Sets | Zendy

Shawkat Alkhazaleh | Zendy; Abdul Razak Salleh | Zendy

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Soft Expert Sets

Author(s) -

Shawkat Alkhazaleh,

Abdul Razak Salleh

Publication year - 2011

Publication title -

advances in decision sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.178

H-Index - 13

eISSN - 2090-3367

pISSN - 2090-3359

DOI - 10.1155/2011/757868

Subject(s) - complement (music) , computer science , intersection (aeronautics) , soft set , set (abstract data type) , management science , expert system , operations research , artificial intelligence , mathematics , fuzzy logic , biochemistry , chemistry , programming language , complementation , engineering , economics , gene , phenotype , aerospace engineering

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

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