Comparison of two fuzzy set-based logics: similarity logic and possibilistic logic

2002 ◽  
Author(s):  
D. Dubois ◽  
H. Prade
Keyword(s):  
Fuzzy Set ◽  
Possibilistic Logic

Timed Possibilistic Logic

1991 ◽  
Vol 15 (3-4) ◽  
pp. 211-234
Author(s):  
Didier Dubois ◽  
Jérôme Lang ◽  
Henri Prade
Keyword(s):  
Temporal Logic ◽  
Fuzzy Set ◽  
Lattice Structure ◽  
Possibility Theory ◽  
Temporal Scale ◽  
Logical Framework ◽  
Classical Formula ◽  
Possibilistic Logic ◽  
Fuzzy Subsets

This paper is an attempt to cast both uncertainty and time in a logical framework. It generalizes possibilistic logic, previously developed by the authors, where each classical formula is associated with a weight which obeys the laws of possibility theory. In the possibilistic temporal logic we present here, each formula is associated with a time set (a fuzzy set in the more general case) which represents the set of instants where the formula is certainly true (more or less certainly true in the general case). When a particular instant is fixed we recover possibilistic logic. Timed possibilistic logic generalizes possibilistic logic also in the sense that we substitute the lattice structure of the set of the (fuzzy) subsets of the temporal scale to the lattice structure underlying the certainty weights in possibilistic logic. Thus many results from possibilistic logic can be straightforwardly generalized to timed possibilistic logic. Illustrative examples are given.

Is Psychology a Science or a Fuzzy Set?

1978 ◽  
Vol 23 (5) ◽  
pp. 319-320
Author(s):  
LEWIS WOLFGANG BRANDT
Keyword(s):  
Fuzzy Set

Methodology of ECG Interpretation in the Padova Program

1990 ◽  
Vol 29 (04) ◽  
pp. 386-392 ◽  
Author(s):  
R. Degani ◽  
G. Bortolan
Keyword(s):  
Decision Making ◽  
Medical School ◽  
Fuzzy Set ◽  
Medical Knowledge ◽  
Main Aspect ◽  
Measurement Evaluation ◽  
Possibility Distributions ◽  
Linguistic Decision Making ◽  
The University ◽  
Ecg Interpretation

AbstractThe main lines ofthe program designed for the interpretation of ECGs, developed in Padova by LADSEB-CNR with the cooperation of the Medical School of the University of Padova are described. In particular, the strategies used for (i) morphology recognition, (ii) measurement evaluation, and (iii) linguistic decision making are illustrated. The main aspect which discerns this program in comparison with other approaches to computerized electrocardiography is its ability of managing the imprecision in both the measurements and the medical knowledge through the use of fuzzy-set methodologies. So-called possibility distributions are used to represent ill-defined parameters as well as threshold limits for diagnostic criteria. In this way, smooth conclusions are derived when the evidence does not support a crisp decision. The influence of the CSE project on the evolution of the Padova program is illustrated.

Fuzzy-Set Theorie im Risikomanagement

Controlling ◽  
2010 ◽  
Vol 22 (12) ◽  
pp. 710-719
Author(s):  
Martin Klein
Keyword(s):  
Fuzzy Set

A Comparative Study of Factors Affecting the Change in Nuclear Power Policy: Application of Fuzzy-set Analysis

2019 ◽  
Vol 28 (1) ◽  
pp. 71-100
Author(s):  
Taeseok Yong ◽  
Eunkook Lee ◽  
Daemin Park ◽  
Jihye Kim
Keyword(s):  
Comparative Study ◽  
Fuzzy Set ◽  
Nuclear Power ◽  
Factors Affecting ◽  
Policy Application ◽  
Fuzzy Set Analysis

Multi-attribute Decision Making with Uncertain Attribute Weight Information in the Framework of Interval-valued Intuitionistic Fuzzy Set

2012 ◽  
Vol 38 (2) ◽  
pp. 220-228 ◽  
Author(s):  
Ying-Jun ZHANG ◽  
Pei-Jun MA ◽  
Xiao-Hong SU ◽  
Chi-Ping ZHANG
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Intuitionistic Fuzzy Set ◽  
Attribute Weight ◽  
Intuitionistic Fuzzy ◽  
Multi Attribute Decision Making ◽  
Interval Valued

Multiple rough fuzzy set model

2011 ◽  
Vol 30 (12) ◽  
pp. 3366-3370
Author(s):  
Guang-qiu HUANG ◽  
Wei WANG
Keyword(s):  
Fuzzy Set ◽  
Rough Fuzzy Set

The Use of Fuzzy Set Classification for Pattern Recognition of the Polygraph

1993 ◽  
Author(s):  
Benjamin Knapp ◽  
Mitra Dastmalchi ◽  
Eric Jacobs ◽  
Shahab Layeghi
Keyword(s):  
Pattern Recognition ◽  
Fuzzy Set
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