Reference points and roughness

Babushri Srinivas Kedukodi; Syam Prasad Kuncham; Satyanarayana Bhavanari

doi:10.1016/j.ins.2010.04.023

Reference points and roughness

Babushri Srinivas Kedukodi, Syam Prasad Kuncham, Satyanarayana Bhavanari

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

Abstract

In this paper, we introduce the notion of a reference point and provide local approximations for a subset of the universe. The notion of a reference point naturally gives rise to a rough approximations framework, wherein several approximations are possible on the same set. Also, we present an extension to the decision theoretic rough set model by using reference points.

Original language	English
Pages (from-to)	3348-3361
Number of pages	14
Journal	Information Sciences
Volume	180
Issue number	17
DOIs	https://doi.org/10.1016/j.ins.2010.04.023
Publication status	Published - 01-09-2010

All Science Journal Classification (ASJC) codes

Software
Control and Systems Engineering
Theoretical Computer Science
Computer Science Applications
Information Systems and Management
Artificial Intelligence

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10.1016/j.ins.2010.04.023

Cite this

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title = "Reference points and roughness",

abstract = "In this paper, we introduce the notion of a reference point and provide local approximations for a subset of the universe. The notion of a reference point naturally gives rise to a rough approximations framework, wherein several approximations are possible on the same set. Also, we present an extension to the decision theoretic rough set model by using reference points.",

author = "Kedukodi, {Babushri Srinivas} and Kuncham, {Syam Prasad} and Satyanarayana Bhavanari",

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AU - Bhavanari, Satyanarayana

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AB - In this paper, we introduce the notion of a reference point and provide local approximations for a subset of the universe. The notion of a reference point naturally gives rise to a rough approximations framework, wherein several approximations are possible on the same set. Also, we present an extension to the decision theoretic rough set model by using reference points.

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Reference points and roughness

Abstract

All Science Journal Classification (ASJC) codes

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