An application of fuzzy logic and Dempster-Shafer theory to failure detection and identification

2002 ◽  
Author(s):  
H. Kang ◽  
J. Cheng ◽  
I. Kim ◽  
G. Vachtsevanos
Keyword(s):  
Fuzzy Logic ◽  
Failure Detection ◽  
Dempster Shafer Theory ◽  
Detection And Identification ◽  
Shafer Theory

An AI view of the treatment of uncertainty

1987 ◽  
Vol 2 (2) ◽  
pp. 75-97 ◽  
Author(s):  
Alessandro Saffiotti
Keyword(s):  
Fuzzy Logic ◽  
Complex Nature ◽  
Dempster Shafer Theory ◽  
Treatment Techniques ◽  
Bayes Theory ◽  
Theory Section ◽  
Pros And Cons ◽  
Fuzzy Logic Theory ◽  
Inference Techniques ◽  
Shafer Theory

AbstractThis paper reviews many of the very varied concepts of uncertainty used in AI. Because of their great popularity and generality “parallel certainty inference” techniques, so-called, are prominently in the foreground. We illustrate and comment in detail on three of these techniques; Bayes' theory (section 2); Dempster-Shafer theory (section 3); Cohen's model of endorsements (section 4), and give an account of the debate that has arisen around each of them. Techniques of a different kind (such as Zadeh's fuzzy-sets, fuzzy-logic theory, and the use of non-standard logics and methods that manage uncertainty without explicitly dealing with it) may be seen in the background (section 5).The discussion of technicalities is accompanied by a historical and philosophical excursion on the nature and the use of uncertainty (section 1), and by a brief discussion of the problem of choosing an adequate AI approach to the treatment of uncertainty (section 6). The aim of the paper is to highlight the complex nature of uncertainty and to argue for an open-minded attitude towards its representation and use. In this spirit the pros and cons of uncertainty treatment techniques are presented in order to reflect the various uncertainty types. A guide to the literature in the field, and an extensive bibliography are appended.

Finding Kicking Range of Sepak Takraw Game: Fuzzy Logic and Dempster-Shafer Theory Approach

2016 ◽  
Vol 2 (1) ◽  
pp. 187 ◽  
Author(s):  
Andino Maseleno ◽  
Md. Mahmud Hasan ◽  
Muhammad Muslihudin ◽  
Tri Susilowati
Keyword(s):  
Fuzzy Logic ◽  
Body Movement ◽  
Fuzzy Reasoning ◽  
The Other ◽  
Theory Approach ◽  
Dempster Shafer Theory ◽  
Novel Approach ◽  
The Individual ◽  
Shafer Theory ◽  
The Right

Sepak takraw is played by two regus, each consisting of three players. One of the three players shall be at the back and he is called a Tekong. The other two players shall be in front, one on the left and the other on the right. Having volley kicked a throw from the net by a team mate, the ball must then travel over the net to begin play. During the service, as soon as the Tekong kicks the ball, all the players are allowed to move about freely in their respective courts. The novel approach is the integration within a Tsukamoto's Fuzzy reasoning and inferences for evidential reasoning based on Dempster-Shafer theory. Sepak takraw is a highly complex net-barrier kicking sport that involves dazzling displays of quick reflexes, acrobatic twists, turns and swerves of the agile human body movement. Because of the human’s involvement in the game, the Fuzzy Logic type reasoning are the most appropriate. The individual rule outputs of Tsukamoto's Fuzzy reasoning scheme are crisp numbers, and therefore, the functional relationship between the input vector and the system output can be relatively easily identified. The result reveals that if  Tekong is kick far and front player is kick near then another regu's player is kick far, if  Tekong is kick near and front player is kick far then another regu's player is kick near, moreover possibility of kicking range is another regu's player is kick far in kicking range.<br /><br />

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