Decision making based on the aggregation operator and the intuitionistic fuzzy reduction method of intuitionistic fuzzy parameterized intuitionistic fuzzy soft sets

Ganeshsree Selvachandran, Sunil Jacob John, Abdul Razak Salleh

Research output: Contribution to journalArticle

Abstract

In this paper, we introduce the aggregation operator of IFPIFS set and apply this operator in a hypothetical decision making problem involving attributes and parameters that are subjective in nature. Specifically, this operator is applied in a decision making problem involving the selection of the best candidate for a vacant position in an organization. Next, we introduce an algorithm called the intuitionistic fuzzy (IF) reduction method which involves the reduction of the original IFPIFS set into an IF set and subsequently a fuzzy set which would then be used to determine the optimal solution for the problem. We demonstrate the application of this algorithm in an object recognition problem which involves subjective and uncertain data.

Original languageEnglish
Pages (from-to)123-127
Number of pages5
JournalJournal of Telecommunication, Electronic and Computer Engineering
Volume9
Issue number1-3
Publication statusPublished - 2017

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Fuzzy sets
Agglomeration
Decision making
Object recognition

Keywords

  • Decision making
  • Fuzzy parameterized intuitionistic fuzzy soft expert set
  • Fuzzy parameterized soft expert set
  • Fuzzy soft expert set
  • Soft set

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

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