NDLI: Merging fuzzy statistical data with imprecise prior information

Content Provider	Springer Nature Link
Author	Hryniewicz, Olgierd
Copyright Year	2006
Abstract	Solving complex decision problems requires the usage of information from different sources. Usually this information is uncertain and statistical or probabilistic methods are needed for its processing. However, in many cases a decision maker faces not only uncertainty of a random nature but also imprecision in the description of input data that is rather of linguistic nature. Therefore, there is a need to merge uncertainties of both types into one mathematical model. In the paper we present methodology of merging information from imprecisely reported statistical data and imprecisely formulated fuzzy prior information. Moreover, we also consider the case of imprecisely defined loss functions. The proposed methodology may be considered as the application of fuzzy statistical methods for the decision making in the systems analysis.
Starting Page	70
Ending Page	82
Page Count	13
File Format	PDF
ISSN	10043756
Journal	Journal of Systems Science and Systems Engineering
Volume Number	15
Issue Number	1
e-ISSN	18619576
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-01-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bayes decisions imprecise information fuzzy statistical data possibilistic decisions Systems and Information Theory in Engineering Game Theory/Mathematical Methods Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems

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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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