On the Analysis of Complex, Softly Defined Problems.
Abstract
Softly defined problems are probelms in which constraints and objectives are imprecise and fuzzy in the sense of the concepts of fuzzy set theory. A concept of fuzzy worth is formulated. An algorithm is presented which extracts the most worthy alternatives. A method is developed for obtaining all efficients solutions in the neighborhood of several most worthy alternatives. The approach is interpreted in terms of utility theory. An example of the selection of performance measures of a mobile communication system is given. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1977
- Accession Number
- ADA044846
Entities
People
- Bennet P. Lientz
Organizations
- University of California, Los Angeles