Distance measures for fuzzy sensor opinions
- 1 August 1993
- journal article
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 4 (8) , 808-815
- https://doi.org/10.1088/0957-0233/4/8/002
Abstract
In a measurement system with intelligent, distributed sensor processes, complementary observations from different sensors need to be combined with each other. For this purpose, the authors introduce a concept where the sensor uses its input data to form an opinion, in the form of a fuzzy membership, on hypotheses regarding the state of the environment. These local opinions are then combined into a global opinion. This paper focuses on developing measures of distance between fuzzy opinions. These may be used to cluster opinions into groups prior to fusing them.Keywords
This publication has 3 references indexed in Scilit:
- Pictorial representations of fuzzy connectives, Part I: Cases of t-norms, t-conorms and averaging operatorsFuzzy Sets and Systems, 1989
- Fuzzy logicComputer, 1988
- Elements of Multi-Bayesian Decision TheoryThe Annals of Statistics, 1983