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Basic Neutrosophic Algebraic Structures and Their Application to Fuzzy and Neutrosophic Models

By: W. B. Vasantha Kandasamy and Florentin Smarandache

...d terminal edges. For proof refer [11]. The following results are easy consequences of the above theorem. Result: [4]: Let G be any connecte... ... Machine Intelligence, 9 (1979) 149- 194. 75. Zhang, W.R., and S. Chen. A Logical Architecture for Cognitive Maps, Proceedings of the 2 nd IEEE ...

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Fuzzy Relational Maps and Neutrosophic Relational Maps

By: W. B. Vasantha Kandasamy and Florentin Smarandache

...ant role in fuzzy relation equations. While the t-norm i may be interpreted as logical conjunction, the corresponding operation w i may be interpr... ... as logical conjunction, the corresponding operation w i may be interpreted as logical implication. The following basic properties 31 of w i ... ...practice. For example, in fuzzy reasoning [70], when the inference rule and the consequences are known, a problem to determine antecedents to be use... ...sible solutions according to some levels of plausibility is out of the scope of logical reasoning, strictly speaking. However one may for instance... ... 134 there are manifestations which are neither certain nor impossible and consequences of the presence of a given disorder d which are only po... ...n power of the model, we have to refine the non–fuzzy model in such a way that consequences (resp. manifestations) previously expressed as certain ... ...p. certainly absent) remain classified in the same way and where some possible consequences (resp. possibly present manifestations) are now allowed... ...ication, negation and a quantifier for generalization are used. As usual, those logical operators are characterized by the way they operate on the t... ... B ∧ t B ⊆ t A. (16) Introducing also the notation |= for (generalized) logical validity as in [28, 29] by |= A ≡ t A . ( 1 7 ) W...

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