APPLICATION OF FUZZY LOGIC TO LIFE-CYCLE COST ANALYSIS OF HIGHWAY PAVEMENTS

Yıl 2019, Cilt: 8 Sayı: 1, 171 - 181, 28.01.2019

Muhammed Emin Cihangir Bağdatlı

https://doi.org/10.28948/ngumuh.516863

Öz

   The determination of the optimal highway
pavement alternative is the result of a systematic decision-making process.
Life-cycle cost analysis is a suitable tool to ensure decision-making. It is
commonly used by global transportation authorities in selecting a best-fit
highway pavement alternative. However, the high data requirement of the
analysis is a significant disadvantage. This triggers the subjectivity in
decision-making. Therefore, a new method is needed to overcome this problem. In
this study, fuzzy logic technique was used because of its popularity in
successful solutions. Vertex and DSW methods, which are fuzzy logic extension
principles, were applied in life-cycle cost analysis of highway pavements. The
application steps of the methods are given in detail in the study. As a result,
the applicability of fuzzy logic in life-cycle cost analysis of highway
pavements has been revealed.

Anahtar Kelimeler

Fuzzy logic, DSW algorithm, Highway pavements, Life-cycle cost analysis, Vertex method

KARAYOLU ÜSTYAPILARININ ÖMÜR DÖNGÜ MALİYET ANALİZİNDE BULANIK MANTIĞIN UYGULANMASI

Öz

   Karayolu üstyapı alternatifleri içinden en
uygun olanın belirlenmesi sistematik bir karar verme sürecinin sonucudur. Ömür
döngü maliyet analizi karar vermeyi temin eden uygun bir araçtır. Bu araç,
karayolu üstyapı alternatiflerinin belirlenmesinde ulaştırma otoriteleri
tarafından yaygın olarak kullanılmaktadır. Ancak analizin yüksek veri
gereksinimi, doğru karar vermenin temin edilmesinde önemli bir dezavantaj
oluşturmaktadır. Bu durum karar vericileri, bilimsel yaklaşımlardan
uzaklaştırarak öznel kararlar almaya zorlamaktadır. Söz konusu sorunun
giderilmesi için yeni bir yönteme ihtiyaç duyulmaktadır. Mühendislik
uygulamalarındaki başarılı çözümlemelerinden dolayı bu çalışmada bulanık mantık
tekniği kullanılmıştır. Problemin çözümüne ilişkin bulanık mantık uzantı
prensiplerinden Vertex ve DSW yöntemi, karayolu üstyapıları ömür döngü maliyet
analizinde uygulanmıştır. Çalışmada yöntemlerin uygulama adımları ayrıntılı
olarak verilmiştir. Sonuç olarak bulanık mantığın karayolu üstyapıları karar
verme süreçlerinden biri olan ömür döngü maliyet analizinde kullanılabilirliği
ortaya konulmuştur.

Anahtar Kelimeler

Bulanık mantık, DSW algoritması, Karayolu üstyapıları, Ömür döngü maliyet analizi, Vertex yöntemi

Kaynakça

• [1] SALEM, O., ABOURIZK, S., ARIARATNAM, S., “Risk-Based Life-Cycle Costing of Infrastructure Rehabilitation and Construction Alternatives.” Journal of Infrastructure Systems, 9(1), 6-15, 2003.
• [2] EDWARDS, P. J., BOWEN, P. A., “Practices, Barriers and Benefits of Risk Management Process in Building Services Costs Estimation: Comment.” Construction Management & Economics, 16(1), 105-108, 1998.
• [3] BAĞDATLI, M. E. C., AKBIYIKLI, R., PAPAGEORGIOU, E. I., “A Fuzzy Cognitive Map Approach Applied in Cost–Benefit Analysis for Highway Projects.” International Journal of Fuzzy Systems, Springer., 19: 1512, 2017.
• [4] ÖZKIR, V., DEMİREL, T., “A Fuzzy Assessment Framework to Select Among Transportation Investment Projects in Turkey.” Expert Systems with Applications, 39(1), 74-80, 2012.
• [5] MARAVAS, A., PANTOUVAKIS, J. P., LAMBROPOULOS, S., “Modeling Uncertainty During Cost Benefit Analysis of Transportation Projects with the Aid of Fuzzy Set Theory.” Procedia-Social and Behavioral Sciences, 48, 3661-3670, 2012.
• [6] TENG, J. Y., TZENG, G. H., “Transportation Investment Project Selection Using Fuzzy Multiobjective Programming. Fuzzy Sets and Systems.” 96(3), 259-280, 1998.
• [7] AVİNERİ, E., PRASHKER, J., CEDER, A., “Transportation Projects Selection Process Using Fuzzy Sets Theory. Fuzzy Sets and Systems.” 116(1), 35-47, 2000.
• [8] FHWA. “Life Cycle Cost Analysis the Georgia Experience.” Federal Highway Administration, Office of Asset Management, U.S. Department of Transportation, 2004.
• [9] UDOT. “Life Cycle Cost Analysis, Engineering Services Division Value Engineering.” Utah Department of Transportation, U.S.A., 2007.
• [10] GEOFFERY, L., AHMAD, M. Z., LABI, S., SINHA, K. C., “Life Cycle Cost Analysis for Indot Pavement Design Procedures.” JTRP Technical Reports, Purdue University, U.S.A., 2005.
• [11] KARSAK, E. E., AHISKA, S. S., “Fuzzy Multi-Criteria Decision Making Approach for Transport Projects Evaluation in Istanbul.” In International Conference on Computational Science and Its Applications (pp. 301-311). Springer Berlin Heidelberg, 2005.
• [12] AMMAR, M., ZAYED, T., MOSELHI, O., “Fuzzy-Based Life-Cycle Cost Model for Decision Making Under Subjectivity.” Journal of Construction Engineering and Management, 139(5), 556-563, 2012.
• [13] CHEN, C., FLINTSCH, G., “Fuzzy Logic Pavement Maintenance and Rehabilitation Triggering Approach for Probabilistic Life-Cycle Cost Analysis.” Transportation Research Record: Journal of the Transportation Research Board, (1990), 80-91, 2007.
• [14] AZEEZ, K., ZAYED, T., AMMAR, M., “Fuzzy-Versus Simulation-Based Life-Cycle Cost for Sewer Rehabilitation Alternatives.” Journal of Performance of Constructed Facilities, 27(5), 656-665, 2013.
• [15] BAĞDATLI, M. E. C., AKBIYIKLI, R., “Sürdürülebilir Ulaştırma Yapıları için Etkili Ekonomik Analiz Modeli.” TRANSİST 7. Uluslararası Ulaşım Teknolojileri Sempozyumu ve Fuarı, İstanbul Kongre Merkezi, İstanbul , 2014.
• [16] FHWA. “Life Cycle Cost Analysis Primer.” Federal Highway Administration, Office of Asset Management, U.S. Department of Transportation U.S.A., 2002.
• [17] CALTRANS. “Life Cycle Cost Analysis Procedures Manual.” State of California Department of Transportation, Division of Maintenance Pavement Program, U.S.A., 2013.
• [18] CAMPBELL, H., F., BROWN, R., P., C., “Benefit-Cost Analysis Financial and Economic Appraisal Using Spreadsheets.” Cambridge University Press, Newyork, U.S.A., 2003.
• [19] DONG, W., SHAH, H., WONG, F., “Fuzzy Computations in Risk and Decision Analysis. Civ. Eng. Syst., 2, 201–208, 1985.
• [20] DONG, W., SHAH, H., “Vertex Method for Computing Functions of Fuzzy Variables.” Fuzzy Sets Syst., 24, 65–78, 1987.
• [21] ROSS, T. J., “Fuzzy Logic with Engineering Applications”. John Wiley & Sons, 2009.
• [22] KISHK, M., AL-HAJJ, A., “A Fuzzy Model and Algorithm to Handle Subjectivity in Life Cycle Costing Based Decision-Making.” 2000.
• [23] WALLS III, J., SMITH, M. R., “Life-cycle cost analysis in pavement design-interim technical bulletin” (No. FHWA-SA-98-079,), 1998.