Fuzzy modus ponens: A new model suitable for applications in knowledge-based systems

1989 ◽  
Vol 4 (2) ◽  
pp. 181-200 ◽  
Author(s):  
P. Magrez ◽  
P. Smets
Keyword(s):  
Modus Ponens ◽  
Knowledge Based Systems ◽  
New Model ◽  
Knowledge Based ◽  
Fuzzy Modus Ponens

Book review: Introduction to Knowledge Based Systems

IEE Review ◽  
1988 ◽  
Vol 34 (1) ◽  
pp. 36
Author(s):  
S.H. Lavington
Keyword(s):  
Knowledge Based Systems ◽  
Knowledge Based

Survey of the State-of-the-Art Expert/Knowledge Based Systems in Civil Engineering.

1986 ◽  
Author(s):  
Simon S. Kim ◽  
Mary Lou Maher ◽  
Raymond E. Levitt ◽  
Martin F. Rooney ◽  
Thomas J. Siller
Keyword(s):  
Civil Engineering ◽  
Expert Knowledge ◽  
State Of The Art ◽  
The State ◽  
Knowledge Based Systems ◽  
Knowledge Based

Knowledge-Based Systems Research

1990 ◽  
Author(s):  
Edward A. Feigenbaum ◽  
Robert S. Engelmore ◽  
Paul C. Rosenbloom
Keyword(s):  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Systems Research

Pythagorean fuzzy full implication multiple I method and corresponding applications

2021 ◽  
pp. 1-15
Author(s):  
TaiBen Nan ◽  
Haidong Zhang ◽  
Yanping He
Keyword(s):  
Decision Making ◽  
Modus Ponens ◽  
Pythagorean Fuzzy Set ◽  
Implication Operator ◽  
Continuity Properties ◽  
Fuzzy Implication ◽  
Decision Making Problem ◽  
Fuzzy Implication Operator ◽  
Degree Of Similarity ◽  
Fuzzy Modus Ponens

The overwhelming majority of existing decision-making methods combined with the Pythagorean fuzzy set (PFS) are based on aggregation operators, and their logical foundation is imperfect. Therefore, we attempt to establish two decision-making methods based on the Pythagorean fuzzy multiple I method. This paper is devoted to the discussion of the full implication multiple I method based on the PFS. We first propose the concepts of Pythagorean t-norm, Pythagorean t-conorm, residual Pythagorean fuzzy implication operator (RPFIO), Pythagorean fuzzy biresiduum, and the degree of similarity between PFSs based on the Pythagorean fuzzy biresiduum. In addition, the full implication multiple I method for Pythagorean fuzzy modus ponens (PFMP) is established, and the reversibility and continuity properties of the full implication multiple I method of PFMP are analyzed. Finally, a practical problem is discussed to demonstrate the effectiveness of the Pythagorean fuzzy full implication multiple I method in a decision-making problem. The advantages of the new method over existing methods are also explained. Overall, the proposed methods are based on logical reasoning, so they can more accurately and completely express decision information.

A blackboard / knowledge - based systems approach to manufacturing scheduling and control

1990 ◽  
Vol 19 (1-4) ◽  
pp. 72-76
Author(s):  
C. Parks ◽  
J. Subramanian ◽  
S. Srinivas ◽  
A. Waikar ◽  
G. Graves ◽  
...  
Keyword(s):  
Systems Approach ◽  
Knowledge Based Systems ◽  
Manufacturing Scheduling ◽  
Knowledge Based ◽  
And Control
Sign in / Sign up

Export Citation Format

Share Document