Generalization of fuzzy sets type-2, fuzzy quantifiers sets and &amp;#x003B1;-cut fuzzy sets fuzzy temporal sets, fuzzy granular sets and fuzzy rough sets for incomplete information

Reddy, P. Venkata Subba

doi:10.1109/ifuzzy.2014.7091236

Cited by 4 publications

(2 citation statements)

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“…The fuzzy set type-2 is a type of fuzzy set in which some additional degree of information is provided [6] Definition: Given some universe of discourse X, a fuzzy set type-2 A of X is defined by its membership function µ A (x) taking values on the unit interval[0,1] i.e. µ Ã (x) [0,1] [0.…”

Section: Presentation Of Fuzzy Set Type-2mentioning

confidence: 99%

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Fuzzy conditional inference and application to Wireless Sensor Network Fuzzy Control Systems

Reddy

2015

2015 IEEE 12th International Conference on Networking, Sensing and Control

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Zadeh, mamdani and TSK are proposed different fuzzy conditional inferences for "if … then … "to approximate with incomplete information. The Zadeh and mamdani fuzzy conditional inferences are require prior information for consequent part. The TSK fuzzy conditional inference need not know prior information for consequent part but it is difficult to compute. In this paper, new methods are proposed for "if … then …" when prior information is not known to consequent part with single fuzzy membership function and two fuzzy membership functions. The two fold fuzzy set made single fuzzy membership function as Fuzzy Certainty Factor(FCF). Sensors are discussed as application for proposed fuzzy conditional inference. Fuzzy inference system (FIS) is discussed for WSN to detect Costal erosion and Turbo Charger Fuzzy Control System as an examples.

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Section: Presentation Of Fuzzy Set Type-2mentioning

confidence: 99%

“…The fuzzy conditional propositions are of the type if (precedent part) then (consequent part). Different methods of fuzzy conditional inference to approximate uncertain information [2,3,4,6,7]. The Zadeh and mamdani fuzzy conditional inferences are needed prior information for both precedent and consequent part.…”

Section: Introductionmentioning

confidence: 99%