Some methods of reasoning for fuzzy conditional propositions

Reddy, P. Venkata Subba; Babu, M. Syam

doi:10.1016/0165-0114(92)90235-v

Cited by 20 publications

(3 citation statements)

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“…Mamdani [2] fuzzy conditional inference given by P → Q == {P × Q}. The consequent part is derived from precedent part for fuzzy conditional inference [8,9].…”

Section: New Methods Of Fuzzy Conditional Inferencementioning

confidence: 99%

New Method of Fuzzy Conditional Inference and Reasoning

Reddy

2019

Fuzzy Information and Engineering

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We consider fuzzy inference of the form 'if ••• then ••• '. 'if ••• then ••• else •••' and 'if ••• and/or ••• and/or ••• then •••'. Muzomoto proposed logical constructs for 'if. then.' by applying Godelien and Standard Sequence methods. These method do not satisfy all the intuitions In this paper, We propose method of fuzzy inference and applied on logical constructs. We have shown that our fuzzy inference method satisfy all the intuitions under several criterions.

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“…Mamdani [2] fuzzy conditional inference given by P → Q == {P × Q}. The consequent part is derived from precedent part for fuzzy conditional inference [8,9].…”

Section: New Methods Of Fuzzy Conditional Inferencementioning

confidence: 99%

New Method of Fuzzy Conditional Inference and Reasoning

Reddy

2019

Fuzzy Information and Engineering

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“…B=f(x 1 ,x 2 ,…, x n ) For the fuzzy proposition "if x is A then y is B else y is C" , the inference is given by [9]. If x is A then y is B else y is C=AxB+A'xC The proposition containing quantifiers may reduce to simple propositions using power operators.…”

Section: Some Methods Of Fuzzy Conditional Inference and Fuzzy Reasoningmentioning

confidence: 99%

“…Zadeh [9,10] discussed Fuzzy reasoning is a drawing conclusion from Fuzzy propositions using fuzzy inference rules. Some of the fuzzy inference rules are given x has very headache o min(1, 1-headache) When prior information is not known x has very headache o min(1, 1-headache) using (3.6) x has very headache o headache using (3.…”

Section: Fuzzy Reasoningmentioning

confidence: 99%

Some methods of fuzzy conditional inference and fuzzy reasoning

Reddy

2013

2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY)

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Zadeh and mamdani proposed fuzzy conditional inference. This fuzzy conditional inference applicable when prior information of consequent part is known. The TSK fuzzy conditional inference need not know the prior information but it is dificult to compute consequent part of fuzzy conditions. There are some applications like fuzzy medical diagnosis and fuzzy control systems, the prior information of consequent part may not be known. In this paper, fuzzy conditional inferences are proposed which are different from Zadeh, Mamdani and TSK fuzzy conditional inferences for "if … then …" fuzzy propositions when prior information is not available to consequent part. The fuzzy conditional inferences are also proposed for "if… then … else …" when prior information is not available to consequent part. The fuzzy reasoning is given for proposed fuzzy methods. The fuzzy medical diagnosis is given for these methods.

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On fuzzy implication relations

Weisbrod

1994

Fuzzy Sets and Systems

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Some methods of reasoning for fuzzy conditional propositions

Cited by 20 publications

References 1 publication

New Method of Fuzzy Conditional Inference and Reasoning

New Method of Fuzzy Conditional Inference and Reasoning

Some methods of fuzzy conditional inference and fuzzy reasoning

On fuzzy implication relations

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