Some More Results on IF Soft Rough Approximation Space | Zendy

Sharmistha Bhattacharya | Zendy; Bijan Davvaz | Zendy

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Some More Results on IF Soft Rough Approximation Space

Author(s) -

Sharmistha Bhattacharya,

Bijan Davvaz

Publication year - 2011

Publication title -

international journal of combinatorics

Language(s) - English

Resource type - Journals

eISSN - 1687-9171

pISSN - 1687-9163

DOI - 10.1155/2011/893061

Subject(s) - rough set , soft set , dominance based rough set approach , set (abstract data type) , mathematics , frame (networking) , space (punctuation) , fuzzy set , computer science , variable (mathematics) , data mining , fuzzy logic , artificial intelligence , telecommunications , mathematical analysis , programming language , operating system

Fuzzy sets, rough sets, and later on IF sets became useful mathematical tools for solving various decision making problems and datamining problems. Molodtsov introduced another concept soft set theory as a general frame work for reasoning about vague concepts. Since most of the data collected are either linguistic variable or consist of vague concepts so IF set and soft set help a lot in data mining problem. The aim of this paper is to introduce the concept of IF soft lower rough approximation and IF upper rough set approximation. Also, someproperties of this set are studied, and also some problems of decision making are cited where this concept may help. Further research will be needed to apply this concept fully in the decision making and datamining problems

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