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The fuzzy logic formalism has been used to determine water quality index based on fuzzy reasoning.
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The controller is based on fuzzy logic reasoning and sets of linguistic rules in forms of IF-THEN rules are used.
According to the extended production rule, the uncertain reasoning algorithm based on fuzzy conceptual graphs is designed.
In this mechanism, a trust reasoning model based on fuzzy Petri net is presented to evaluate trust values of mobile nodes.
To cope with this, we present a generalization of the RCC based on fuzzy set theory, and discuss how reasoning tasks such as satisfiability and entailment checking can be cast into linear programming problems.
In this paper, a new approach for optimization based on fuzzy logic, linguistic quantifiers and analogy based reasoning is proposed to improve the performance of the effort in software project when they are described in either numerical or categorical data.
In a logic based on fuzzy sets, the principle of the excluded middle is therefore invalid.
In contrast, fuzzy inference system (FIS) is a quite capable modeling tool to overcome the limitations of ANN and ANFIS models as it is based on fuzzy logic and can simply convert the experience of experts to a set of inference system based rule and is focused on modes of reasoning which are approximate rather than exact.
These modules are based on fuzzy logic.
Formulate questionnaires based on fuzzy scales.
Fuzzy time series methods are based on fuzzy set theory.
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