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ON A FUZZY MEASURE OF DIFFICULTY IN SYSTEM-IDENTIFICATION
- Source :
- IndraStra Global.
- Publication Year :
- 1985
- Publisher :
- TAYLOR & FRANCIS LTD, 1985.
-
Abstract
- The first step in any system identification procedure is the collection of data and its preliminary analysis. This step is generally neglected in the literature because in this step the maximum amount of human judgement, experience and decision-making is needed. In this paper Zadeh's fuzzy set theory is used to systematize this preliminary analysis of data. A fuzzy measure termed the ‘degree of difficulty’ (DOD) is derived, which quantifies in a fuzzy manner the difficulty and complexity involved in a system identification problem. The computation of DOD is based on the membership functions developed for nine fuzzy sets defined using nine characterizing properties of systems.
- Subjects :
- Fuzzy classification
business.industry
Fuzzy set
Machine learning
computer.software_genre
Type-2 fuzzy sets and systems
Defuzzification
Computer Science Applications
Theoretical Computer Science
Control and Systems Engineering
Fuzzy mathematics
Fuzzy number
Fuzzy set operations
Data mining
Artificial intelligence
business
computer
Membership function
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 23813652
- Database :
- OpenAIRE
- Journal :
- IndraStra Global
- Accession number :
- edsair.doi.dedup.....079aa74a7e67ad9da310feff707b428e
- Full Text :
- https://doi.org/10.1080/00207728508926669