Type-Reduced Set structure and the truncated type-2 fuzzy set

Reduced-Set Vector-Based Interval Type-2 Fuzzy Neural Network

This paper describes an interval type-2 fuzzy modeling framework, reduced-set vector-based interval type-2 fuzzy neural network (RV-based IT2FNN), to characterize the representation in fuzzy logic inference procedure. The model proposed introduces the concept of interval kernel to interval type-2 fuzzy membership, and provides an architecure to extract reduced-set vectors for generating interva...

Centroid of a type-2 fuzzy set

Type-2 fuzzy set extension of DEMATEL method combined with perceptual computing for decision making

Most decision making methods used to evaluate a system or demonstrate the weak and strength points are based on fuzzy sets and evaluate the criteria with words that are modeled with fuzzy sets. The ambiguity and vagueness of the words and different perceptions of a word are not considered in these methods. For this reason, the decision making methods that consider the perceptions of decision...

Interval Type 2 Fuzzy Set in Fuzzy Shortest Path Problem

The shortest path problem (SPP) is one of the most important combinatorial optimization problems in graph theory due to its various applications. The uncertainty existing in the real world problems makes it difficult to determine the arc lengths exactly. The fuzzy set is one of the popular tools to represent and handle uncertainty in information due to incompleteness or inexactness. In most cas...

the investigation of the relationship between type a and type b personalities and quality of translation

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