Cumulative Belief Degrees Approach for R&D Project Selection

Özgür Kabak; Irem Ucal Sari

doi:10.1007/978-3-031-67195-1_54

Cumulative Belief Degrees Approach for R&D Project Selection

Özgür Kabak, Irem Ucal Sari^*

^*Corresponding author for this work

Department of Industrial Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	480-488
Number of pages	9
ISBN (Print)	9783031671944
DOIs	https://doi.org/10.1007/978-3-031-67195-1_54
Publication status	Published - 2024
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Duration: 16 Jul 2024 → 18 Jul 2024

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1089 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2024
Country/Territory	Turkey
City	Canakkale
Period	16/07/24 → 18/07/24

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

Access to Document

10.1007/978-3-031-67195-1_54

Cite this

Kabak, Ö., & Sari, I. U. (2024). Cumulative Belief Degrees Approach for R&D Project Selection. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. Ucal Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference (pp. 480-488). (Lecture Notes in Networks and Systems; Vol. 1089 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-67195-1_54

Kabak, Özgür ; Sari, Irem Ucal. / Cumulative Belief Degrees Approach for R&D Project Selection. Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer Science and Business Media Deutschland GmbH, 2024. pp. 480-488 (Lecture Notes in Networks and Systems).

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Kabak, Ö & Sari, IU 2024, Cumulative Belief Degrees Approach for R&D Project Selection. in C Kahraman, S Cevik Onar, B Oztaysi, I Ucal Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Lecture Notes in Networks and Systems, vol. 1089 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 480-488, International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Canakkale, Turkey, 16/07/24. https://doi.org/10.1007/978-3-031-67195-1_54

Cumulative Belief Degrees Approach for R&D Project Selection. / Kabak, Özgür; Sari, Irem Ucal.
Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer Science and Business Media Deutschland GmbH, 2024. p. 480-488 (Lecture Notes in Networks and Systems; Vol. 1089 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Cumulative Belief Degrees Approach for R&D Project Selection

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PY - 2024

Y1 - 2024

N2 - 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.

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A2 - Ucal Sari, Irem

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2024

Y2 - 16 July 2024 through 18 July 2024

ER -

Kabak Ö, Sari IU. Cumulative Belief Degrees Approach for R&D Project Selection. In Kahraman C, Cevik Onar S, Oztaysi B, Ucal Sari I, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Springer Science and Business Media Deutschland GmbH. 2024. p. 480-488. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-67195-1_54

Cumulative Belief Degrees Approach for R&D Project Selection

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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