Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making

KACPRZYK Janusc & FEDRIZZI Mario (Eds)

ISBN 10: 3540500057 / ISBN 13: 9783540500056

Published by Springer-Verlag, 1988

About this Item

399 pages, camera-ready typescript, paperback, a very good copy of a book in the Lecture Notes in Economics and Mathematical Systems series [3540500057].

Seller Inventory # 140315

Bibliographic Details

• Title: Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making
• Publisher: Springer-Verlag
• Publication Date: 1988
• Language: English
• ISBN 10: 3540500057
• ISBN 13: 9783540500056
• Binding: Soft cover
• Condition: Very Good
• Seller catalogs:
  • Economics

About this title

Synopsis

In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul­ tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as "It is very unlikely that the price of oil will decline sharply in the near future," in which the italicized words play the role of fuzzy predicates. The question is: How can one express the mean­ ing of this proposition through the use of probability-based methods? If this cannot be done effectively in a probabilistic framework, then how can one employ the information provided by the proposition in question to bear on a decision relating to an investment in a company engaged in exploration and marketing of oil? As another example, consider a collection of rules of the form "If X is Ai then Y is B,," j = 1, . . . , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc.