A Novel Weighted Average Index Method of Interval Valued Intuitionistic Fuzzy Sets and Its Application to Outsourced Software Project Risk Assessment

Zhen-Hua Zhang, Z.-J. Li, X.-X. Chen, G.-H. Qu, Y. Hu, J.-H. Xu, C. Ma

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

A novel weighted average index model of interval valued intuitionistic fuzzy sets (IVIFS) is presented in this paper. By analyzing the interval of membership degree, the interval of non-membership degree and the interval of hesitancy degree, we provide two weighted arithmetic average indexes and two geometric average indexes of IVIFS. And we prove some mathematical properties of these average indexes. Finally, a multiple attribute decision making example applied to outsourced software project risk assessment is given to demonstrate the application of these statistical indexes. The simulation results show that the evaluation methods on these average indexes are all effective.
Original languageEnglish
Title of host publicationInternational Conference on Oriental Thinking and Fuzzy Logic
EditorsBing-Yuan Cao, Pei-Zhuang Wang, Zeng-Liang Liu, Yu-Bin Zhong
Place of PublicationSwitzerland
PublisherSpringer Verlag
Pages259-271
Volume443
ISBN (Print)978-3-319-30873-9, 978-3-319-30874-6
DOIs
Publication statusPublished - 19 Jun 2016

Bibliographical note

The full text is not available on the repository.

Keywords

  • Interval valued intuitionistic fuzzy sets
  • Outsourced software project
  • Risk assessment
  • Average index

Fingerprint Dive into the research topics of 'A Novel Weighted Average Index Method of Interval Valued Intuitionistic Fuzzy Sets and Its Application to Outsourced Software Project Risk Assessment'. Together they form a unique fingerprint.

Cite this