In this paper, we propose an approach to possibility and necessity measure speciÿcation. This approach is more adequate to human reasoning than direct speciÿcation of conjunction and implication functions. Using the proposed approach, a possibility measure is speciÿed by two modiÿer functions and a
Fuzzy truth definition of possibility measure for decision classification
✍ Scribed by J.F. Baldwin; B.W. Pilsworth
- Publisher
- Elsevier Science
- Year
- 1979
- Weight
- 740 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0020-7373
No coin nor oath required. For personal study only.
✦ Synopsis
A new definition of possibility measure is presented which is calculated on truth space and is shown to be equivalent to Zadeh's original definition. This alternative formulation is shown to be the more natural in the context of decision classification because it clearly demonstrates the need for determining both the possibility of a category and not that category in a selection criterion.
A number of useful possibility theorems are presented and their application to decision classification is demonstrated in a simplistic medical diagnosis problem, which also employs entropy measure as an additional parameter.
The truth space formulation of possibility measure is shown to be of further value in problems of high dimensional state and an important possibility theorem relating to such problems is presented.
📜 SIMILAR VOLUMES
This paper describes a classification of semi-fuzzy quantifiers that considerably improves the division between what Zadeh calls quantifiers of the first kind and those of the second kind. A number of cases are contemplated that are not habitually described in the literature on fuzzy quantification
The Sugeno integral has been identified and used as an aggregation operator many times in the past. In this paper, an extension of the Sugeno integral for the framework of possibilistic truth values is presented, resulting in a powerful domain-specific aggregation operator. Next, it is shown how the