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A Multi-Attribute Group Decision Method Based on Triangular Intuitionistic Fuzzy Number

2011
This paper proposes a new method of multi-attribute group decision by using triangular intuitionistic fuzzy number (TIFN) to represent the experts’ evaluation information. At first, giving the TIFN definition and aggregation operator, such as triangular intuitionistic weighing arithmetic average (TI-WAA) operator and ordered weighted aggregation (TI ...
Xiaoyun Yue   +3 more
openaire   +1 more source

AHP based on Triangular Intuitionistic Fuzzy Number and its Application to Supplier Selection Problem

Materials Today: Proceedings, 2019
Abstract Analytic Hierarchy process (AHP) is an effective approach for dealing with Multi Criteria Decision Problem (MCDM). This paper investigates AHP in Intuitionistic Fuzzy environment. Here comparative judgments are taken in the form of Triangular Intuitionistic fuzzy number (TIFN).
G. Nirmala, G. Uthra
openaire   +1 more source

BI STAGE FSSP WITH TRIANGULAR INTUITIONISTIC FUZZY NUMBER AND COMPARISON BETWEEN HEURISTICS

Scheduling theory focuses on the best way to distribute limited resources among tasks throughout time and allocating limited resources to tasks in the best possible way. This field's history begins when two people first fought over a resource and devised a strategy to divide it without resorting to violence.
Kaushik, Pooja   +3 more
openaire   +1 more source

MULTI-ATTRIBUTE DECISION MAKING METHOD BASED ON POSSIBILITY VARIANCE COEFFICIENT OF TRIANGULAR INTUITIONISTIC FUZZY NUMBERS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2013
Triangular intuitionistic fuzzy numbers (TIFNs) are a special case of intuitionistic fuzzy sets. The purpose of this paper is to develop a new decision making method based on possibility variance coefficient to solve the multi-attribute decision making (MADM) problems, in which the attribute values are in the form of TIFNs and the weight preference ...
openaire   +2 more sources

Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing

International Journal of Information Management, 2021
Ilias O Pappas, Arch G Woodside
exaly  

A Survey on Fuzzy Deep Neural Networks

ACM Computing Surveys, 2021
Sagnik Sen
exaly  

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