Cumulative Belief Degrees Approach for R&D Project Selection

Özgür Kabak, Irem Ucal Sari*

*Corresponding author for this work

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

Abstract

Research and Development (R&D) entails the generation of innovative knowledge and its practical application to address challenges. In Turkey, the advancement of R&D initiatives is fostered through the establishment of technoparks and R&D centers. Within these R&D centers, a wide array of project proposals is solicited, tailored to the specific domains of the companies involved. Project selection is carried out by assessing project proposals based on several criteria. This study aims to evaluate project proposals submitted to an R&D center and develop a decision-making framework to identify projects worthy of pursuit. A new set of criteria is proposed for this purpose. In the methodology, the Fuzzy Analytic Hierarchy Process (FAHP) is employed to determine the importance of the criteria, while the cumulative degrees approach is used to consolidate information from diverse sources. Additionally, a mathematical model is devised to facilitate the final project selection, taking into account constraints such as budget limitations and human resource availability.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
PublisherSpringer Science and Business Media Deutschland GmbH
Pages480-488
Number of pages9
ISBN (Print)9783031671944
DOIs
Publication statusPublished - 2024
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey
Duration: 16 Jul 202418 Jul 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1089 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2024
Country/TerritoryTurkey
CityCanakkale
Period16/07/2418/07/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Cumulative Belief Degrees Approach
  • FAHP
  • Mathematical Programming
  • Project Selection

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