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RISEnhanced Interval Type-2 Fuzzy Logic Systems with Improved the Output Processing Using Uncertainty Bounds
It is known that type-2 fuzzy sets let us to model and to minimize the effects of uncertainties in rule-based fuzzy logic system (FLS). While a type-2 FLS has the capability to model more complex relationships, the output ...
A systematic approach to fuzzy modeling for rule generation from numerical data
This paper addresses a new method for automatically extraction of the fuzzy rules from input-output data. The proposed fuzzy system modeling approach has three significant modules: (1) input selection; (2) knowledge ...
A New Approach to Design of Interval Type-2 Fuzzy Logic Systems
In this paper a new fuzzy modeling approach is proposed, which is devoted to discover knowledge from
data and represent it in the form of fuzzy rules. In this approach, the structure identification and parameter ...
The Similarity Measure between Interval Type-2 Fuzzy Sets based on the Intersection of their FOUs
This paper presents a similarity measure for interval type-2 fuzzy sets based on the intersection of the footprint of uncertainty. We also established the closed-form of the proposed similarity measures for Gaussian interval ...
An Analytical Formula for Similarity Measure between Interval Type-2 Fuzzy Sets with Gaussian Primary Membership Function and Uncertain Standard Deviation
Different similarity measures for type-2 fuzzy sets have heen proposed in the literature. However, there are not analytIcal formulas for them. In this paper, an extension of Jaccard\\'s similarity ...
A Type-2 Fuzzy Model for Stock Market Analysis
In this paper, a type-2 Fuzzy Rule Based Expert System is developed for analysing the stock markets. Interval type-2 fuzzy logic system permits us to model rule uncertainties and every membership value of an element is ...
A New Approach For TSK-type Fuzzy Model Design
In this paper a new fuzzy modeling approach is proposed, which is devoted to discover knowledge from data and represent it in the form of fuzzy rules. In this approach, the structure identification and parameter optimization ...
A multi-objective approach to design of interval type-2 fuzzy logic systems
One of the main advantages of interval type-2 fuzzy logic systems is their ability to produce prediction intervals as a by-product of the type reduction process. This is especially useful for the design of interval type-2 ...
NEW MODEL FOR SUPPLIER SELECTION BASED ON INVENTORY MANAGEMENT AND TRANSPORTATION CONSIDERATION UNDER QUANTITY DISCOUNTS
According to the growing competition in the global markets and the vital role of suppliers in making a business successful, the subject of supplier selection has highly attracted many researchers and practitioners working ...
Modeling allocation pattern in vulnerable systems as a capacitated clustering problem
In this paper the assignment pattern of customers to the facilities of a service system is modeled as a clustering problem. It is assumed that the facilities of the system are vulnerable to natural disaster. The probabilities ...