Finding the Weights of the Criteria in the Flight Selection Problem Using Fuzzy Linear Programming

Erdem Akın; Basar Oztaysi; Özgür Kabak

doi:10.1007/978-3-031-67195-1_48

Finding the Weights of the Criteria in the Flight Selection Problem Using Fuzzy Linear Programming

Erdem Akın^*, Basar Oztaysi, Özgür Kabak

^*Corresponding author for this work

Department of Industrial Engineering

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

Abstract

The Flight Selection Problem (FSP), inherent in the multitude of choices offered by airlines for a given origin-destination (O&D) city pair, presents a challenge for travelers in making informed decisions. Various factors like cost, duration, number of transfers, wait times, baggage allowance, and airline reputation make the decision-making process complex. This study aims to address the complexities of the FSP by using Fuzzy Linear Programming (FLP) to determine optimal weights for different criteria. FLP, known for its ability to handle ambiguity and uncertainty, is applied here to carefully establish customized weights for each criterion, catering to the specific needs of each O&D pair. This approach recognizes the dynamic and subjective nature of traveler preferences and offers a framework for effectively ranking flight options during user searches. By employing FLP, a comprehensive and adaptable approach is taken to optimize decision-making in the travel industry, enabling the provision of personalized flight recommendations tailored to individual preferences.

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	411-419
Number of pages	9
ISBN (Print)	9783031671944
DOIs	https://doi.org/10.1007/978-3-031-67195-1_48
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

Flight Selection
Fuzzy Linear Programming
Travel Industry

Access to Document

10.1007/978-3-031-67195-1_48

Cite this

Akın, E., Oztaysi, B., & Kabak, Ö. (2024). Finding the Weights of the Criteria in the Flight Selection Problem Using Fuzzy Linear Programming. 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. 411-419). (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_48

Akın, Erdem ; Oztaysi, Basar ; Kabak, Özgür. / Finding the Weights of the Criteria in the Flight Selection Problem Using Fuzzy Linear Programming. 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. 411-419 (Lecture Notes in Networks and Systems).

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title = "Finding the Weights of the Criteria in the Flight Selection Problem Using Fuzzy Linear Programming",

abstract = "The Flight Selection Problem (FSP), inherent in the multitude of choices offered by airlines for a given origin-destination (O&D) city pair, presents a challenge for travelers in making informed decisions. Various factors like cost, duration, number of transfers, wait times, baggage allowance, and airline reputation make the decision-making process complex. This study aims to address the complexities of the FSP by using Fuzzy Linear Programming (FLP) to determine optimal weights for different criteria. FLP, known for its ability to handle ambiguity and uncertainty, is applied here to carefully establish customized weights for each criterion, catering to the specific needs of each O&D pair. This approach recognizes the dynamic and subjective nature of traveler preferences and offers a framework for effectively ranking flight options during user searches. By employing FLP, a comprehensive and adaptable approach is taken to optimize decision-making in the travel industry, enabling the provision of personalized flight recommendations tailored to individual preferences.",

keywords = "Flight Selection, Fuzzy Linear Programming, Travel Industry",

author = "Erdem Akın and Basar Oztaysi and {\"O}zg{\"u}r Kabak",

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",

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doi = "10.1007/978-3-031-67195-1_48",

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series = "Lecture Notes in Networks and Systems",

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

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Akın, E, Oztaysi, B & Kabak, Ö 2024, Finding the Weights of the Criteria in the Flight Selection Problem Using Fuzzy Linear Programming. 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. 411-419, International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Canakkale, Turkey, 16/07/24. https://doi.org/10.1007/978-3-031-67195-1_48

Finding the Weights of the Criteria in the Flight Selection Problem Using Fuzzy Linear Programming. / Akın, Erdem; Oztaysi, Basar ; Kabak, Özgür.
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. 411-419 (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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AU - Akın, Erdem

AU - Oztaysi, Basar

AU - Kabak, Özgür

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

PY - 2024

Y1 - 2024

N2 - The Flight Selection Problem (FSP), inherent in the multitude of choices offered by airlines for a given origin-destination (O&D) city pair, presents a challenge for travelers in making informed decisions. Various factors like cost, duration, number of transfers, wait times, baggage allowance, and airline reputation make the decision-making process complex. This study aims to address the complexities of the FSP by using Fuzzy Linear Programming (FLP) to determine optimal weights for different criteria. FLP, known for its ability to handle ambiguity and uncertainty, is applied here to carefully establish customized weights for each criterion, catering to the specific needs of each O&D pair. This approach recognizes the dynamic and subjective nature of traveler preferences and offers a framework for effectively ranking flight options during user searches. By employing FLP, a comprehensive and adaptable approach is taken to optimize decision-making in the travel industry, enabling the provision of personalized flight recommendations tailored to individual preferences.

AB - The Flight Selection Problem (FSP), inherent in the multitude of choices offered by airlines for a given origin-destination (O&D) city pair, presents a challenge for travelers in making informed decisions. Various factors like cost, duration, number of transfers, wait times, baggage allowance, and airline reputation make the decision-making process complex. This study aims to address the complexities of the FSP by using Fuzzy Linear Programming (FLP) to determine optimal weights for different criteria. FLP, known for its ability to handle ambiguity and uncertainty, is applied here to carefully establish customized weights for each criterion, catering to the specific needs of each O&D pair. This approach recognizes the dynamic and subjective nature of traveler preferences and offers a framework for effectively ranking flight options during user searches. By employing FLP, a comprehensive and adaptable approach is taken to optimize decision-making in the travel industry, enabling the provision of personalized flight recommendations tailored to individual preferences.

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A2 - Tolga, A. Cagri

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Akın E, Oztaysi B , Kabak Ö. Finding the Weights of the Criteria in the Flight Selection Problem Using Fuzzy Linear Programming. 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. 411-419. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-67195-1_48

Finding the Weights of the Criteria in the Flight Selection Problem Using Fuzzy Linear Programming

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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