Results 1 to 10 of about 7,473 (162)

Uncertainty of Interval Type-2 Fuzzy Sets Based on Fuzzy Belief Entropy [PDF]

open access: yesEntropy, 2021
Interval type-2 fuzzy sets (IT2 FS) play an important part in dealing with uncertain applications. However, how to measure the uncertainty of IT2 FS is still an open issue.
Sicong Liu, Rui Cai
doaj   +5 more sources

Transformation-Based Fuzzy Rule Interpolation Using Interval Type-2 Fuzzy Sets [PDF]

open access: yesAlgorithms, 2017
In support of reasoning with sparse rule bases, fuzzy rule interpolation (FRI) offers a helpful inference mechanism for deriving an approximate conclusion when a given observation has no overlap with any rule in the existing rule base.
Chengyuan Chen, Qiang Shen
doaj   +2 more sources

Process Capability Analysis Using Interval Type-2 Fuzzy Sets [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2017
In some cases, the specification limits of a quality characteristic should be defined under uncertain information. In the literature, process capability analyses have been handled by using type-1 fuzzy sets under fuzziness up to now.
Abbas Parchami   +3 more
doaj   +2 more sources

Constrained Interval Type-2 Fuzzy Sets [PDF]

open access: yesIEEE Transactions on Fuzzy Systems, 2021
In many contexts, type-2 fuzzy sets are obtained from a type-1 fuzzy set to which we wish to add uncertainty. However, in the current type-2 representation there is no restriction on the shape of the footprint of uncertainty and the embedded sets that can be considered acceptable.
Pasquale D'Alterio   +3 more
openaire   +2 more sources

Evaluating Knowledge Management Maturity by interval type 2 fuzzy sets [PDF]

open access: yesکتابداری و اطلاع‌رسانی, 2021
Objective: Knowledge management (KM) is a concept of managing knowledge in the company. The implementation of concept has different levels in each company.
Mohammad Hossein Ronaghi
doaj   +1 more source

Development of a multi-period multi-attribute group decision-making method using type- 2 fuzzy set of linguistic variables [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2021
Recently, fuzzy linguistic variables have gained a great deal of attention from researchers in many decision-making problems. In this problems, type-2 fuzzy sets have been used to better cover linguistic data uncertainty.
Ali Dehghani Filabadi   +1 more
doaj   +1 more source

Towards Interval Type-3 Intuitionistic Fuzzy Sets and Systems

open access: yesMathematics, 2022
In this work, several types of intuitionistic fuzzy sets, inspired by Type-2 and Type-3 concepts, are introduced. In particular, the newly proposed interval Type-3 intuitionistic sets are very interesting as they extend the opportunities of both interval
Oscar Castillo, Patricia Melin
doaj   +1 more source

Extending similarity measures of interval type-2 fuzzy sets to general type-2 fuzzy sets [PDF]

open access: yes2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013
Similarity measures provide one of the core tools that enable reasoning about fuzzy sets. While many types of similarity measures exist for type-1 and interval type-2 fuzzy sets, there are very few similarity measures that enable the comparison of general type-2 fuzzy sets.
McCulloch, Josie   +2 more
openaire   +3 more sources

A method for solving interval type-2 triangular fuzzy bilevel linear programming problem [PDF]

open access: yesYugoslav Journal of Operations Research, 2023
In this paper, we consider the bilevel linear programming problem (BLPP) where all the coefficients in the problem are interval type-2 triangular fuzzy numbers (IT2TFNs). First, we convert a BLPP with IT2TFN parameters to an interval BLPP.
Davoudi Niloofar   +2 more
doaj   +1 more source

Interval Type 2 Fuzzy Set in Fuzzy Shortest Path Problem [PDF]

open access: yesMathematics, 2016
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
Arindam Dey, Anita Pal, Tandra Pal
openaire   +2 more sources

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