Evaluation of Density Based Odor Classification by General Type-2 Fuzzy Set Induced Pattern Classifier

2018 ◽  
Author(s):  
Mousumi Laha ◽  
Lidia Ghosh ◽  
Sricheta Parui ◽  
Sayantani Ghosh ◽  
Amit Konar
Keyword(s):  
Fuzzy Set ◽  
General Type ◽  
Odor Classification ◽  
Pattern Classifier

scholarly journals A Type-2 Fuzzy Sonewhere Dense Set In General Type-2 Fuzzy Topological Space

2020 ◽  
pp. 21-27
Author(s):  
Mohammed Salih Mahdy Hussan ◽  
Munir Abdul Khalik AL-Khafaji
Keyword(s):  
Topological Space ◽  
Fuzzy Set ◽  
General Type ◽  
Space Topology ◽  
Fuzzy Topological Space ◽  
Dense Set

The multiplicity of connotations in any paper does not mean that there is no main objective for that paper and certainly one of these papers is our research the main objective is to introduce a new connotation which is type-2 fuzzy somewhere dense set in general type-2 fuzzy topological space and its relationship with open sets of the connotation type-2 fuzzy set in the same space topology and theories of this connotation.

A general type-2 fuzzy set induced single trial P300 detection

2017 ◽  
Author(s):  
Tanuka Bhattacharjee ◽  
Reshma Kar ◽  
Amit Konar ◽  
Anna Lekova ◽  
Atulya K. Nagar
Keyword(s):  
Fuzzy Set ◽  
General Type ◽  
Single Trial

Application of General Type-2 Fuzzy Set in Emotion Recognition from Facial Expression

2011 ◽  
pp. 460-468 ◽  
Author(s):  
Anisha Halder ◽  
Rajshree Mandal ◽  
Aruna Chakraborty ◽  
Amit Konar ◽  
Ramadoss Janarthanan
Keyword(s):  
Facial Expression ◽  
Emotion Recognition ◽  
Fuzzy Set ◽  
General Type

Representing a probabilistic linguistic term set with an interval type-2 fuzzy set and the application in green supplier selection

2021 ◽  
pp. 1-18
Author(s):  
Le Jiang ◽  
Hongbin Liu
Keyword(s):  
Decision Making ◽  
Membership Function ◽  
Fuzzy Set ◽  
Supplier Selection ◽  
Symbolic Model ◽  
Green Supplier Selection ◽  
Linguistic Term ◽  
Interval Type ◽  
Decision Making Model

The use of probabilistic linguistic term sets (PLTSs) means the process of computing with words. The existing methods computing with PLTSs mainly use symbolic model. To provide a semantic model for computing with PLTSs, we propose to represent a PLTS by using an interval type-2 fuzzy set (IT2FS). The key step is to compute the footprint of uncertainty of the IT2FS. To this aim, the upper membership function is computed by aggregating the membership functions of the linguistic terms contained in the PLTS, and the lower membership function is obtained by moving the upper membership function downward with the step being total entropy of the PLTS. The comparison rules, some operations, and an aggregation operator for PLTSs are introduced. Based on the proposed method of computing with PLTSs, a multi-criteria group decision making model is introduced. The proposed decision making model is then applied in green supplier selection problem to show its feasibility.

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