Prioritization of R&D Projects Using Fermatean Fuzzy MARCOS Method

Irem Ucal Sari*, Sule Nur Sargin

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

Product and service innovations are of great importance to maintain and increase the current market shares of companies. For this reason, the importance that companies attach to R&D projects is increasing constantly, and the problem of which of the proposed R&D projects should be implemented becomes a very critical decision due to the high cost of investments. Accordingly, in this study, an extension of fuzzy MARCOS method using fermatean fuzzy sets is developed to guide the selection of the R&D project to be invested. The developed methodology is applied to a company in the construction industry using the criteria technological applicability, economic benefits, technical benefits, technical risks, potential market size and financial feasibility to rank four innovative R&D projects.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
EditorsCengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
PublisherSpringer Science and Business Media Deutschland GmbH
Pages569-577
Number of pages9
ISBN (Print)9783030855765
DOIs
Publication statusPublished - 2022
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey
Duration: 24 Aug 202126 Aug 2021

Publication series

NameLecture Notes in Networks and Systems
Volume308
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021
Country/TerritoryTurkey
CityIstanbul
Period24/08/2126/08/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Fermatean fuzzy sets
  • Fuzzy MARCOS method
  • R&D projects

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