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^*

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	480-488
Sayfa sayısı	9
ISBN (Basılı)	9783031671944
DOI'lar	https://doi.org/10.1007/978-3-031-67195-1_54
Yayın durumu	Yayınlandı - 2024
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Süre: 16 Tem 2024 → 18 Tem 2024

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	1089 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2024
Ülke/Bölge	Turkey
Şehir	Canakkale
Periyot	16/07/24 → 18/07/24

Bibliyografik not

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

Belgeye Erişim

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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; Hac. 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. editör / 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).

@inproceedings{cb928c512748431bb6cd76916238ceb1,

title = "Cumulative Belief Degrees Approach for R\&D Project Selection",

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.",

keywords = "Cumulative Belief Degrees Approach, FAHP, Mathematical Programming, Project Selection",

author = "{\"O}zg{\"u}r Kabak and Sari, \{Irem Ucal\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Intelligent and Fuzzy Systems, INFUS 2024 ; Conference date: 16-07-2024 Through 18-07-2024",

year = "2024",

doi = "10.1007/978-3-031-67195-1\_54",

language = "English",

isbn = "9783031671944",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "480--488",

editor = "Cengiz Kahraman and \{Cevik Onar\}, Sezi and Basar Oztaysi and \{Ucal Sari\}, Irem and Selcuk Cebi and Tolga, \{A. Cagri\}",

booktitle = "Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference",

address = "Germany",

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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, hac. 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; Hac. 1089 LNNS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

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

AU - Kabak, Özgür

AU - Sari, Irem Ucal

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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.

AB - 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.

KW - Cumulative Belief Degrees Approach

KW - FAHP

KW - Mathematical Programming

KW - Project Selection

UR - https://www.scopus.com/pages/publications/85206997390

U2 - 10.1007/978-3-031-67195-1_54

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

M3 - Conference contribution

AN - SCOPUS:85206997390

SN - 9783031671944

T3 - Lecture Notes in Networks and Systems

SP - 480

EP - 488

BT - Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

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, editörler, 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

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Belgeye Erişim

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