NDLI: Hybrid Intelligent Suite for Decision Support

Content Provider	IEEE Xplore Digital Library
Author	Neto, F.B.L. Oliveira, F.R.S. Pacheco, D.F.
Copyright Year	2007
Description	Author affiliation: Pernambuco State Univ., Pernambuco (Neto, F.B.L.; Oliveira, F.R.S.; Pacheco, D.F.)
Abstract	This work presents a suite of hybrid intelligent techniques helpful in decision making, the hybrid intelligent decision suite (HIDS). The system is composed of two complementary modules, one for forecasting new decision variables and the other, for searching among generated results of candidate decisions. Using this synergistic approach, HIDS is also suitable to obtain conditioning factors leading to desired decision, thus, overcoming some of the challenges posed by the 'inverse problem'. To test this concept we have applied our approach on two distinct problems: (1) diagnosis of cardiologic diseases (of the proben-1 data-set) and (2) automobile feature selection (of UCI data-set). In the simulations carried out here, the HIDS comprised artificial neural networks (ANNs) and fuzzy logic controllers. Results proved that the ideas presented here can be effective to assemble tools which reduce uncertainty and improve quality in decision making about future scenarios.
Starting Page	94
Ending Page	99
File Size	164850
Page Count	6
File Format	PDF
ISBN	9780769529769
DOI	10.1109/ISDA.2007.45
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-20
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Inverse problems Decision making Intrusion detection Cardiac disease Artificial neural networks Cardiology Cardiovascular diseases Automobiles Testing
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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