[PDF] Top 20 Interval type–2 fuzzy decision making

Interval type–2 fuzzy decision making

... with decision making under uncertainty and the consideration of ...risk. Type-1 fuzzy logic by its (essentially) crisp nature is limited in modelling decision making as there is ... See full document

20

Risk sensitive decision making using type reduction methods

... Such interval ratings can be considered as interval–valued fuzzy sets [4, 5] or interval type–2 fuzzy sets [7, 8, ...14]. Interval type–2 fuzzy ... See full document

8

Extending similarity measures of interval type 2 fuzzy sets to general type 2 fuzzy sets

... In this demonstration, each method was applied to the interval T2 FSs displayed in Fig. 3, the results of which are shown in Table II. The x-axis was discretised into 100 equally distanced points, and minimum ... See full document

8

Interval type 2 fuzzy sets in supplier selection

... the decision maker and their performances were determined in the same manner of the criteria using linguistic terms such as ‘excellent’, ‘very good’, ‘good’, ...the fuzzy numbers of each criterion value and ... See full document

7

A Topological Perspective for Interval Type-2 Fuzzy Hedges

... new fuzzy set from the original one, and can be thought of as a functional ...Typically, fuzzy reasoning systems use various dis- tinct classes of hedge operations, each of which represented by ... See full document

15

A Comparison Between Fuzzy Type-1 and Type-2 Systems in Medical Decision Making: A Systematic Review

... Gaussian MFs (33-35,38,39) and trapezoidal MFs (37) are used to represent linguistic variables in this domain. The results of the study by Helmy et al (35) demonstrated that Gaussian MFs were more efficient compared to ... See full document

7

Type 2 fuzzy alpha cuts

... for type- 2 interval fuzzy sets, providing an alternative approach to the Karnik-Mendel iterative method for defuzzicafion and for the purposes of formulating and solving linear programming ... See full document

13

Multiattribute decision making models and methods using interval valued fuzzy sets

... . Interval-valued indices allow us to calculate the best final result (and the worst one) we can expect in a process leading to a final optimal ...the decision maker can change his evaluations in the ... See full document

9

Interval type 2 fuzzy localization for wireless sensor networks

... techniques. Type 1 fuzzy logic (T1FL) is one of those techniques for geometrical localization and as a clustering-based method- ...of interval type 2 fuzzy logic (IT2FL) in ... See full document

13

Investment Decision Making Problem Using Interval Valued Fuzzy Soft Matrix

... Abstract: Fuzzy matrix (FM) is a very important topic in fuzzy ...In Fuzzy matrix, the elements belong to the unit interval ...of Fuzzy matrix are the subintervals of the unit ... See full document

9

A New Approach on Multiple Attribute Decision Making with Interval-Valued Knowledge Measure

... intuitionistic fuzzy weight geometric (IVIFWG) operator, interval- valued intuitionistic fuzzy ordered weighted geometric (IVIFOWG) operator and the interval-valued intuitionistic fuzzy ... See full document

8

Application Of Multi-Criteria Decision Making Techniques For Bridge Construction

... paper fuzzy TOPSIS method is also proposed for the selection problem of type of ...six decision-makers evaluated the importance of criteria by using the linguistic variables in Table ...of ... See full document

10

Vol 9, No 1 (2018)

... attribute decision making (MADM) with an interval-valued Intuitionistic fuzzy set is developed based on the combined concept of GRA and minimum of regret ... See full document

6

An Extended TOPSIS Method for Multiple Attribute Group Decision Making Based on Generalized Interval-valued Trapezoidal Fuzzy Numbers

... the decision making problems under the fuzzy information ...complex decision making problems under the generalized interval-valued trapezoidal fuzzy information ...the ... See full document

12

Interval type 2 A intuitionistic fuzzy logic for regression problems

... IT2 fuzzy C-mean (IT2FCM) and AIFS for the clustering of different types of images especially those corrupted with ...intuitionistic type-2 fuzzy set to image thresholding using Sugeno ... See full document

13

Time series forecasting with interval type 2 intuitionistic fuzzy logic systems

... dataset is a time series that shows the number of lynx trapped in the Mckenzie river district per year in northern Canada and corresponds to the period 1821-1934. Similar to previous studies such as [26]–[28], the ... See full document

6

A support vector based interval type 2 fuzzy system

... systematical fuzzy modelling and fuzzy iden- tification methodology is the Takagi-Sugeno-Kang (TSK) fuzzy system [10], ...a fuzzy system that can transform human knowledge and experience ... See full document

6

Method for Multi attribute Decision Making with Triangular Fuzzy Number Based on Multi period State

... of decision making matrix: As the various attribute values in the decision making matrix have different measurement criteria and units, to facilitate uniformed treatment, the following ... See full document

6

Advancements in Multi-Criteria Decision Making Based on Interval-Valued Intuitionistic Fuzzy Set

... Multi-criteria decision-making (MCDM) problem is the process of finding the best option from all of the feasible alternatives where all the alternatives can be evaluated according to a number of criteria or ... See full document

6

Case Studies on the Application of Fuzzy Linear Programming in Decision-Making

... Example 2.1. [25] Let X = {10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110} be pos- sible speeds(mph) at which cars can cruise over long distances. Then the fuzzy set A of “uncomfortable speeds for long distances” ... See full document

17