NDLI: Ranking by AHP: a rough approach

Content Provider	IEEE Xplore Digital Library
Author	Alam, S.S. Shrabonti, G.
Copyright Year	2002
Description	Author affiliation: Dept. of Math., Indian Inst. of Technol., Kharagpur, India (Alam, S.S.; Shrabonti, G.)
Abstract	Decision making is always a difficult assignment for everyone in every context and more information eases the process and makes it more accurate. More data does not always mean more information. Rough sets alone can be adopted to handle hierarchical structure in the family of criteria using decision rules based on preference model. The rules are induced from the preferential information given by the Decision Maker (DM) in the form of examples of decisions. The existing rough set techniques are applicable in information systems where condition and decision attributes are distinguishable. But, in general, the information are available in the form of a data table, called an information system or knowledge representation system, where rows are labeled by alternatives and columns by attributes. In such cases, the condition and decision attributes are not distinguishable. The present paper offers a solution for making decisions in an efficient way when enough data are available, relevant or irrelevant. In a Multiple Criteria Decision Analysis (MCDA) problem, determination of weights is an important aspect of the Analytic Hierarchy Process (AHP). Based on rough set concepts, a model, viz., the interval AHP model with interval data, for determination of the weights has been considered here. According to the necessary and possibility concepts of rough set, we obtain the lower and upper evaluation models, respectively. After obtaining the local interval weights, a method is proposed for calculating the global weights, and also for ranking the alternatives. The proposed method will be applicable for an information system as well as for a decision table.
Starting Page	185
Ending Page	190
File Size	479092
Page Count	6
File Format	PDF
ISBN	0972184414
DOI	10.1109/ICIF.2002.1021149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-07-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Int. Soc. of Information Fusion
Subject Keyword	Information systems Decision making Mathematics Rough sets Spatial databases Algorithm design and analysis Fuzzy sets Fuzzy set theory Set theory
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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