interval type-2 fuzzy sets
MULTI-CRITERIA GROUP DECISION-MAKING USING AN EXTENDED EDAS METHOD WITH INTERVAL TYPE-2 FUZZY SETS
... Type-1 fuzzy sets are effi cient in modeling the multi-criteria decision-making problems and have many applications for extending MCDM methods in an uncertain ...process. Type-2 ...
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Solving Critical Path Problem in Project Network by a New Enhanced Multi-objective Optimization of Simple Ratio Analysis Approach with Interval Type-2 Fuzzy Sets
... To conclude from the above, given the advantages of T2FSs, applying them in project environment is a practical approach. However, only a small number of studies have applied them to address project uncertainty. On the ...
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Interval type 2 fuzzy sets in supplier selection
... of fuzzy logic in type-2 fuzzy ...using type-2 TOPSIS ...ranking interval type-2 fuzzy sets in order to deal with fuzzy multiple ...
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The Derivation of Interval Type-2 Fuzzy Sets and Systems on Continuous Domain: Theory and Applications to Heart Diseases
... use interval type-2 fuzzy sets (IT2 FSs) in a type-2 fuzzy logic system (T2 FLS) because of the computational complexity of using a general T2 FS, the result being ...
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Extending similarity measures of interval type 2 fuzzy sets to general type 2 fuzzy sets
... 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 ...
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A Topological Perspective for Interval Type-2 Fuzzy Hedges
... between interval type-2 fuzzy sets and fiber bundles, it is advisable, at first, to observe the FOU (Footprint Of Uncertainty) of a typical interval type-2 ...
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Interval type–2 fuzzy decision making
... risk. Type-1 fuzzy logic by its (essentially) crisp nature is limited in modelling decision making as there is no uncertainty in the membership ...that interval type–2 fuzzy ...
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A Multi-Criteria Evaluation for Sustainable Supplier Selection Based on Fuzzy Sets*
... integrated fuzzy MCDM algorithm is implemented. At first, Fuzzy Analytical Hierarchy Process (FAHP) is used for obtaining the weights of the main criteria and related ...Then, fuzzy TOPSIS method is ...
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A support vector based interval type 2 fuzzy system
... The fuzzy rules and antecedent parameters of the proposed model are obtained using ...rules. Type-1 fuzzy sets and interval type-2 fuzzy sets for rule 1 ...
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Interval Type 2 Fuzzy Logic Control of Mobile Robots
... by fuzzy logic, all the cited forms of uncertainties will be multiplied over fuzzi- fication, inference and ...controller. Type-2 fuzzy logic has been used by researchers to try and overcome ...
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Interval Type-2 Fuzzy Logic And Ga Techniques: A Review
... The interval type-2 FLC works as follows: the crisp inputs from the input sensors are first fuzzified into input type-2 fuzzy sets; singleton fuzzification is usually used ...
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Extension of TOPICS for group DM based on the type two fuzzy positive and negative ideal solutions
... the interval type-2 fuzzy sets, we introduce an extension of fuzzy TOPSIS for handling fuzzy multiple attributes group decision making ...the fuzzy positive ideal ...
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Type-2 Fuzzy Hybrid Expert System For Diagnosis Of Degenerative Disc Diseases
... an interval type-2 fuzzy hybrid rule-based system to diagnose the abnormal degenerated discs where pain variables are represented by interval type-2 membership ...Mamdani ...
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A direct approach for determining the switch points in the Karnik Mendel algorithm
... of interval type-2 fuzzy sets, determining the switch points needed for the lower and upper bounds of the centroid, through an iterative ...of interval type-2 ...
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Adaptive Interval Type-2 Fuzzy Inference System for Facial Expression Recognition
... by fuzzy membership functions. On the other hand, it is believed that type-2 fuzzy sets have high potentials of uncertainty management in the space of ...of Type 2 ...
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Type 2 fuzzy alpha cuts
... Type-2 fuzzy logic systems make use of type-2 fuzzy ...useful type-2 fuzzy logic applications we need to be able to perform meaningful operations on these ...
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Development of Fuzzy Type-2 Reliability Models for Power System Reliability Evaluation Problems and Preventive Maintenance Suggestions
... of fuzzy set theory is basically utilizing the type-1 fuzzy sets, where the fuzzy membership is assumed as point-wise positive function ranging on ...an interval valued ...
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Interval type 2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey
... This study investigates the level of service quality of domestic airlines in Turkey travelling between Istanbul and London and compares those airline companies according to a set of pre- determined criteria. A practical ...
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Interval type 2 fuzzy localization for wireless sensor networks
... A fuzzy linguistic localization scheme is proposed. Based on interval type 2 fuzzy logic (IT2FL), a signal processing of the radio signal strength indicator (RSSI) minimizes the ...
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Exploring Constrained Type 2 fuzzy sets
... T2 sets require three dimensions to be repre- sented, which makes them hard to draw, and all of the main operations on them have a higher computational cost compared to their T1 ...T2 sets have been ...
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