Research Article
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Year 2025, Volume: 9 Issue: 1, 215 - 232, 01.07.2025
https://doi.org/10.56554/jtom.1327595

Abstract

References

  • Adali, E.A., Öztaş, G.Z., Öztaş, T. & Tuş, A. (2022). Assessment of European Cities from a Smartness Perspective: An Integrated Grey MCDM Approach. Sustainable Cities and Society. 84, 104021. https://doi.org/10.1016/j.scs.2022.104021
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  • Ayan, B., Abacıoğlu, S. & Basilio, MP. A. (2023). A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making. Information, 14(5), 285. https://doi.org/10.3390/info14050285
  • Ayçin, E. (2023). Çok Kriterli Karar Problemlerinde LBWA Yöntemi İle Kriterlerin Önem Ağırlıklarının Hesaplanmasına Yönelik Bir Uygulama: LBWA-Solver, İktısadı ve İdarı Bilimlerde Uluslararası Araştırma ve Değerlendirmeler, Serüven Yayınevi, 83-93. https://www.seruvenyayinevi.com/Webkontrol/uploads/Fck/iktisat1aralik2023_2.pdf
  • Ayough, A., Shargh, SB. & Khorshidvand, B. (2023). A new integrated approach based on base-criterion and utility additive methods and its application to supplier selection problem. Expert Systems with Applications, 221, 119740. https://doi.org/10.1016/j.eswa.2023.119740
  • Ayrım, Y., & Can, G. F. (2017). Risk değerlendirmesinde crıtıc metodu ile sektörlerin karşılaştırması. Journal of Turkish Operations Management, 1(1), 67-78.
  • Aytekin, A., Korucuk, S., Bedirhanoğlu, Ş.B. & Vladimir, S. (2024) Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology, Engineering Applications of Artificial Intelligence, 127, 107347. https://doi.org/10.1016/j.engappai.2023.107347
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  • Biswas, S., Pamučar, D., Božanic, D. & Halder, B. (2022a). A New Spherical Fuzzy LBWA-MULTIMOOSRAL Framework: Application in Evaluation of Leanness of MSMEs in India. Mathematical Problems in Engineering, 1–17. https://doi.org/10.1155/2022/5480848
  • Biswas, S., Pamučar, D. & Mukhopadhyaya, J.N. (2022b). A Multi-Criteria-Based Analytical Study of the Impact of COVID-19 on ELSS Fund Performance. International Journal of Management and Decision Making, 21, 339– 378. https://doi.org/10.1504/IJMDM.2022.10048438
  • Božanic, D., Jurišic, D. & Erkic, D. (2020a). LBWA–Z-MAIRCA Model Supporting Decision Making in the Army. Operational Research in Engineering Sciences: Theory and Applications, 3, 87–110. https://doi.org/10.31181/oresta2003087b
  • Božanić, D., Ranđelović, A., Radovanović & Tešić, M. D. (2020b). A hybrid LBWA- IR-MAIRCA multi-criteria decision-making model for determination of constructive elements of weapons. Facta Universitatis-Series Mechanical Engineering, 18 (3), 399-418. https://doi.org/10.22190/FUME200528033B
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  • Ecer, F., Pamučar, D., Mardani, A. &Alrasheedi, M. (2021). Assessment of Renewable Energy Resources Using New Interval Rough Number Extension of the Level Based Weight Assessment and Combinative Distance-Based Assessment. Renew Energy, 170, 1156–1177. https://doi.org/10.1016/j.renene.2021.02.004
  • Erdogan, M. & Ayyildiz, E. (2022). Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates, Expert Systems with Applications, 206, 117773. https://doi.org/10.1016/j.eswa.2022.117773
  • Farid, H.M.A., Miletic, S.D., Riaz, M., Simic, V. & Pamučar, D. (2024). Prioritization of sustainable approaches for smart waste management of automotive fuel cells of road freight vehicles using the q-rung orthopair fuzzy CRITIC-EDAS method. Information Sciences, 661, 120162. https://doi.org/10.1016/j.ins.2024.120162
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  • Gupta, S., Kushwaha, P.S., Badhera, U. & Singh, R.K. (2024). Managing tourism and hospitality industry during pandemic: analysis of challenges and strategies for survival, Benchmarking: An International Journal, early access https://doi.org/10.1108/BIJ-11-2023-0806
  • Hristov, N., Pamučar, D. & Amine, M. (2021). Application of a D Number Based LBWA Model and an Interval MABAC Model in Selection of an Automatic Cannon for Integration into Combat Vehicles. Defence Science Journal, 71 (1), 34–45. https://doi.org/10.14429/dsj.71.15738
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A new approach for determining weight coefficients of criteria within the scope of multi-criteria decision making: Logarithmic effect-based measurement (LEBM)

Year 2025, Volume: 9 Issue: 1, 215 - 232, 01.07.2025
https://doi.org/10.56554/jtom.1327595

Abstract

In the literature of multi-criteria decision making (MCDM), there are many methods related to the measurement of weight coefficients of criteria. In this study, a mathematical model based on the logarithmic effect among criteria (Logarithmic Effect-Based Measurement, LEBM) is proposed to contribute to the MCDM literature and to calculate the weight coefficients of criteria. The dataset used in the study consists of criterion values belonging to the Logistics Performance Index (LPI) of 18 countries in the G20 group. According to the analysis results, the proposed method is considered successful in calculating the objective weight coefficients of criteria for countries. Additionally, the proposed method is compared with other objective weighting methods (ENTROPY, CRITIC, SD, SVP, LOPCOW, and MEREC) within the scope of sensitivity analysis. The findings indicate that the rankings of LPI weight coefficients measured using the proposed method are similar to those measured using the MEREC method, and the relationship between the LPI weight coefficients determined using the proposed method and the MEREC method is positive, significant, and strong. Therefore, it is believed that the proposed method will contribute both to the logarithmic function and the MCDM literature

References

  • Adali, E.A., Öztaş, G.Z., Öztaş, T. & Tuş, A. (2022). Assessment of European Cities from a Smartness Perspective: An Integrated Grey MCDM Approach. Sustainable Cities and Society. 84, 104021. https://doi.org/10.1016/j.scs.2022.104021
  • Ali, T., Sunny, M.R., Aghaloo, K. & Wang, K. (2024). Planning off-grid hybrid energy system using technoeconomic optimization and wins in league theory-based multi-criteria decision-making method in the wetland areas of developing countries. Energy Conversion and Management, 313, 118587. https://doi.org/10.1016/j.enconman.2024.118587
  • Ayan, B., Abacıoğlu, S. & Basilio, MP. A. (2023). A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making. Information, 14(5), 285. https://doi.org/10.3390/info14050285
  • Ayçin, E. (2023). Çok Kriterli Karar Problemlerinde LBWA Yöntemi İle Kriterlerin Önem Ağırlıklarının Hesaplanmasına Yönelik Bir Uygulama: LBWA-Solver, İktısadı ve İdarı Bilimlerde Uluslararası Araştırma ve Değerlendirmeler, Serüven Yayınevi, 83-93. https://www.seruvenyayinevi.com/Webkontrol/uploads/Fck/iktisat1aralik2023_2.pdf
  • Ayough, A., Shargh, SB. & Khorshidvand, B. (2023). A new integrated approach based on base-criterion and utility additive methods and its application to supplier selection problem. Expert Systems with Applications, 221, 119740. https://doi.org/10.1016/j.eswa.2023.119740
  • Ayrım, Y., & Can, G. F. (2017). Risk değerlendirmesinde crıtıc metodu ile sektörlerin karşılaştırması. Journal of Turkish Operations Management, 1(1), 67-78.
  • Aytekin, A., Korucuk, S., Bedirhanoğlu, Ş.B. & Vladimir, S. (2024) Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology, Engineering Applications of Artificial Intelligence, 127, 107347. https://doi.org/10.1016/j.engappai.2023.107347
  • Bayram, E. (2022). Talep yönetiminde üretim önceliğinin belirlenmesi için çok kriterli karar verme tabanlı bütünleşik bir yaklaşım (Master’s Thesis). Atatürk Universty, Erzurum. Retrieved from: https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=NvNxiLfiIIp4n6IHVihaJA&no=M1kRqLG7j_tLf9e0K ruXjA
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  • Biswas, S., Pamučar, D., Božanic, D. & Halder, B. (2022a). A New Spherical Fuzzy LBWA-MULTIMOOSRAL Framework: Application in Evaluation of Leanness of MSMEs in India. Mathematical Problems in Engineering, 1–17. https://doi.org/10.1155/2022/5480848
  • Biswas, S., Pamučar, D. & Mukhopadhyaya, J.N. (2022b). A Multi-Criteria-Based Analytical Study of the Impact of COVID-19 on ELSS Fund Performance. International Journal of Management and Decision Making, 21, 339– 378. https://doi.org/10.1504/IJMDM.2022.10048438
  • Božanic, D., Jurišic, D. & Erkic, D. (2020a). LBWA–Z-MAIRCA Model Supporting Decision Making in the Army. Operational Research in Engineering Sciences: Theory and Applications, 3, 87–110. https://doi.org/10.31181/oresta2003087b
  • Božanić, D., Ranđelović, A., Radovanović & Tešić, M. D. (2020b). A hybrid LBWA- IR-MAIRCA multi-criteria decision-making model for determination of constructive elements of weapons. Facta Universitatis-Series Mechanical Engineering, 18 (3), 399-418. https://doi.org/10.22190/FUME200528033B
  • Çelikyay, S. (2002). Çok amaçlı savaş uçağı seçiminde çok ölçütlü karar verme yöntemlerinin uygulanması (Yüksek Lisans Tezi). Erişim adresi: https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp Das, M.C., Sarkar, B. & Ray, S. (2013). On the performance of Indian technical institutions: a combined SOWIAMOORA approach. OPSEARCH, 50(3), 319–333. https://doi.org/10.1007/s12597-012-0116-z
  • Demir, G. (2020). LBWA Method. Çok Kriterli Karar Verme Problemlerinde Kriter Ağırlıklandırma Yöntemleri, Nobel Yayınevi, Ankara, 137-158.
  • Diakoulaki, D., Mavrotas, G. & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 22(7), 763-770. https://doi.org/10.1016/0305- 0548(94)00059-H
  • Ecer, F. (2020). Çok Kriterli Karar Verme Geçmişten Günümüze Kapsamlı Bir Yaklaşım. Seçkin Yayıncılık, Ankara.
  • Ecer, F., Pamučar, D., Mardani, A. &Alrasheedi, M. (2021). Assessment of Renewable Energy Resources Using New Interval Rough Number Extension of the Level Based Weight Assessment and Combinative Distance-Based Assessment. Renew Energy, 170, 1156–1177. https://doi.org/10.1016/j.renene.2021.02.004
  • Erdogan, M. & Ayyildiz, E. (2022). Comparison of hospital service performances under COVID-19 pandemics for pilot regions with low vaccination rates, Expert Systems with Applications, 206, 117773. https://doi.org/10.1016/j.eswa.2022.117773
  • Farid, H.M.A., Miletic, S.D., Riaz, M., Simic, V. & Pamučar, D. (2024). Prioritization of sustainable approaches for smart waste management of automotive fuel cells of road freight vehicles using the q-rung orthopair fuzzy CRITIC-EDAS method. Information Sciences, 661, 120162. https://doi.org/10.1016/j.ins.2024.120162
  • Görçün, Ö.F. & Küçükönder, H. (2021). An integrated MCDM approach for evaluating the Ro-Ro marine port selection process: a case study in black sea region, Australian Journal of Maritime & Ocean Affairs, 13(3), 203- 223. https://doi.org/10.1080/18366503.2021.1878872
  • Gupta, S., Kushwaha, P.S., Badhera, U. & Singh, R.K. (2024). Managing tourism and hospitality industry during pandemic: analysis of challenges and strategies for survival, Benchmarking: An International Journal, early access https://doi.org/10.1108/BIJ-11-2023-0806
  • Hristov, N., Pamučar, D. & Amine, M. (2021). Application of a D Number Based LBWA Model and an Interval MABAC Model in Selection of an Automatic Cannon for Integration into Combat Vehicles. Defence Science Journal, 71 (1), 34–45. https://doi.org/10.14429/dsj.71.15738
  • Jakovljevic, V., Zizovic, M., Pamučar, D., Stevic, Ž. & Albijanic, M. (2021). Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA). Mathematics, 9 (9), 976. https://doi.org/10.3390/math9090976
  • Keskin, Z.B, & Delice E.K., (2023). Determining the effectiveness of countries in combating pandemics: COVID- 19 case. RAIRO Operations Research,57, 2151–2176. https://doi.org/10.1051/ro/2023077
  • Krishnan, AR. (2024).Research trends in criteria importance through intercriteria correlation (CRITIC) method: a visual analysis of bibliographic data using the Tableau software, Information Discovery And Delivery, early access. https://doi.org/10.1108/idd-02-2024-0030
  • Korucuk, S., Aytekin, A., Ecer, F., Pamučar, D.S.S. & Karamaşa, Ç. (2022). Assessment of Ideal Smart Network Strategies for Logistics Companies Using an Integrated Picture Fuzzy LBWA–CoCoSo Framework. Management Decision, 61, 1434–1462. https://doi.org/10.1108/MD-12-2021-1621
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There are 48 citations in total.

Details

Primary Language English
Subjects Computational Statistics, Statistical Analysis
Journal Section Research Article
Authors

Furkan Fahri Altıntaş 0000-0002-0161-5862

Publication Date July 1, 2025
Submission Date July 14, 2023
Acceptance Date December 6, 2023
Published in Issue Year 2025 Volume: 9 Issue: 1

Cite

APA Altıntaş, F. F. (2025). A new approach for determining weight coefficients of criteria within the scope of multi-criteria decision making: Logarithmic effect-based measurement (LEBM). Journal of Turkish Operations Management, 9(1), 215-232. https://doi.org/10.56554/jtom.1327595
AMA Altıntaş FF. A new approach for determining weight coefficients of criteria within the scope of multi-criteria decision making: Logarithmic effect-based measurement (LEBM). JTOM. July 2025;9(1):215-232. doi:10.56554/jtom.1327595
Chicago Altıntaş, Furkan Fahri. “A New Approach for Determining Weight Coefficients of Criteria Within the Scope of Multi-Criteria Decision Making: Logarithmic Effect-Based Measurement (LEBM)”. Journal of Turkish Operations Management 9, no. 1 (July 2025): 215-32. https://doi.org/10.56554/jtom.1327595.
EndNote Altıntaş FF (July 1, 2025) A new approach for determining weight coefficients of criteria within the scope of multi-criteria decision making: Logarithmic effect-based measurement (LEBM). Journal of Turkish Operations Management 9 1 215–232.
IEEE F. F. Altıntaş, “A new approach for determining weight coefficients of criteria within the scope of multi-criteria decision making: Logarithmic effect-based measurement (LEBM)”, JTOM, vol. 9, no. 1, pp. 215–232, 2025, doi: 10.56554/jtom.1327595.
ISNAD Altıntaş, Furkan Fahri. “A New Approach for Determining Weight Coefficients of Criteria Within the Scope of Multi-Criteria Decision Making: Logarithmic Effect-Based Measurement (LEBM)”. Journal of Turkish Operations Management 9/1 (July 2025), 215-232. https://doi.org/10.56554/jtom.1327595.
JAMA Altıntaş FF. A new approach for determining weight coefficients of criteria within the scope of multi-criteria decision making: Logarithmic effect-based measurement (LEBM). JTOM. 2025;9:215–232.
MLA Altıntaş, Furkan Fahri. “A New Approach for Determining Weight Coefficients of Criteria Within the Scope of Multi-Criteria Decision Making: Logarithmic Effect-Based Measurement (LEBM)”. Journal of Turkish Operations Management, vol. 9, no. 1, 2025, pp. 215-32, doi:10.56554/jtom.1327595.
Vancouver Altıntaş FF. A new approach for determining weight coefficients of criteria within the scope of multi-criteria decision making: Logarithmic effect-based measurement (LEBM). JTOM. 2025;9(1):215-32.

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