Risk Assessment of R&D Activities Using Intuitionistic Fuzzy AHP and FIS

Esra Ilbahar*, Selcuk Cebi, Cengiz Kahraman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

National and international supports for research and development projects have been increasing over the world. Risk management has a vital impact on the success of these projects. In risk management, all of the potential actions that may negatively affect the processes or outputs of a project should be identified and their negative effects should be minimized before starting the project by taking a set of prevention. Therefore, in this study, risks in research and development projects are identified and evaluated by using interval-valued intuitionistic fuzzy AHP and fuzzy inference system. The most critical risks are determined as insufficient planning and abnormal changes in costs.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques
Subtitle of host publicationSmart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
PublisherSpringer
Pages1327-1335
Number of pages9
ISBN (Print)9783030511555
DOIs
Publication statusPublished - 2021
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey
Duration: 21 Jul 202023 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1197 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/TerritoryTurkey
CityIstanbul
Period21/07/2023/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Fuzzy inference system
  • Intuitionistic fuzzy sets
  • Research & Development
  • Risk assessment

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