Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 30, Issue 4 (2019)
  4. Residential Construction Site Selection ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Full article
  • Related articles
  • Cited by
  • More
    Article info Full article Related articles Cited by

Residential Construction Site Selection Through Interval-Valued Hesitant Fuzzy CODAS Method
Volume 30, Issue 4 (2019), pp. 689–710
Ali Karasan   Edmundas Kazimieras Zavadskas   Cengiz Kahraman   Mehdi Keshavarz-Ghorabaee  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2019.225
Pub. online: 1 January 2019      Type: Research Article      Open accessOpen Access

Received
1 January 2019
Accepted
1 September 2019
Published
1 January 2019

Abstract

Construction site selection is a complex problem involving many alternatives and conflicting criteria with vague and imprecise evaluations. Fuzzy multi-criteria decision-making methods are the most effective tools to obtain optimum solutions under possibilistic uncertainty. In this paper, a novel interval hesitant fuzzy CODAS method is proposed and applied to a residential construction site selection problem. A comparative analysis with ordinary fuzzy CODAS method is applied for validating the proposed method. Also, a sensitivity analysis is conducted for the stability of the ranking results of the interval hesitant fuzzy CODAS method. The results of the analyses demonstrate the effectiveness of our proposed method.

References

 
Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20(1), 87–96.
 
Bagocius, V., Zavadskas, E.K., Turskis, Z. (2014). Selecting a location for a liquefied natural gas terminal in the Eastern Baltic Sea. Transport, 29(1), 69–74.
 
Bahrani, S., Ebadi, T., Ehsani, H., Yousefi, H., Maknoon, R. (2016). Modeling landfill site selection by multi-criteria decision making and fuzzy functions in GIS, case study: Shabestar, Iran. Environmental Earth Sciences, 75(4), 337–351.
 
Balali, V., Zahraie, B., Roozbahani, A. (2012). Integration of ELECTRE III and PROMETHEE II decision-making methods with an interval approach: application in selection of appropriate structural systems. Journal of Computing in Civil Engineering, 28(2), 297–314.
 
Bansal, S., Biswas, S., Singh, S.K. (2017). Fuzzy Decision Approach for Selection of Most Suitable Construction Method of Green Buildings. International Journal of Sustainable Built Environment, 6(1), 122–132.
 
Cabrerizo, F.J., Al-Hmouz, R., Morfeq, A., Balamash, A.S., Martinez, M.A., Herrera-Viedma, E. (2017). Soft consensus measures in group decision making using unbalanced fuzzy linguistic information. Soft Computing, 21(11), 3037–3050.
 
Chaudhary, P., Chhetri, S.K., Joshi, K.M., Shrestha, B.M., Kayastha, P. (2016). Application of an Analytic Hierarchy Process (AHP) in the GIS interface for suitable fire site selection: a case study from Kathmandu Metropolitan City, Nepal. Socio-Economic Planning Sciences, 53, 60–71.
 
Chen, J., Wang, J., Balezentis, T., Zagurskaite, F., Streimikiene, D., Makuteniene, D. (2018). Multicriteria approach towards the sustainable selection of a teahouse location with sensitivity analysis. Sustainability, 10(8), 2926–2940.
 
Cheng, S., Chan, C.W., Huang, G.H. (2003). An integrated multi-criteria decision analysis and inexact mixed integer linear programming approach for solid waste management. Engineering Applications of Artificial Intelligence, 16(5), 543–554.
 
Dey, P.K., Ramcharan, E.K. (2008). Analytic hierarchy process helps select site for limestone quarry expansion in Barbados. Journal of Environmental Management, 88(4), 1384–1395.
 
Eskandari, M., Homaee, M., Mahmodi, S. (2012). An integrated multi criteria approach for landfill siting in a conflicting environmental, economical and socio-cultural area. Waste Management, 32(8), 1528–1538.
 
Grattan-Guiness, I. (1975). Fuzzy membership mapped onto interval and many-valued quantities. Zeitschrift für mathematische Logik und Grundlagen der Mathematik, 22(1), 149–160.
 
Hasanzadeh, M., Danehkar, A., Azizi, M. (2013). The application of analytical network process to environmental prioritizing criteria for coastal oil jetties site selection in Persian Gulf Coasts (Iran). Ocean & Coastal Management, 73, 136–144.
 
Jahn, K. (1975). Intervall-wertige mengen. Mathematische Nachrichten, 68, 115–132.
 
Kahraman, C., Oztaysi, B., Sari, I.U., Turanoglu, E. (2014). Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowledge-Based Systems, 59, 48–57.
 
Kahraman, C., Keshavarz Ghorabaee, M., Zavadskas, E.K., Cevik Onar, S., Yazdani, M., Oztaysi, B. (2017). Intuitionistic fuzzy EDAS method: an application to solid waste disposal site selection. Journal of Environmental Engineering and Landscape Management, 25(1), 1–12.
 
Keshavarz Ghorabaee, M., Zavadskas, E.K., Olfat, L., Turskis, Z. (2015). Multi-criteria inventory classification using a new method of Evaluation Based on Distance from Average Solution (EDAS). Informatica, 26(3), 435–451.
 
Keshavarz Ghorabaee, M., Zavadskas, E.K., Turskis, Z., Antucheviciene, J. (2016). A New Combinative Distance-Based Assessment (CODAS) method for multi-criteria decision-making. Economic Computation & Economic Cybernetics Studies & Research, 50(3), 25–44.
 
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E.K., Hooshmand, R., Antucheviciene, J. (2017). Fuzzy extension of the CODAS method for multi-criteria market segment evaluation. Journal of Business Economics and Management, 18(1), 1–19.
 
Kulak, O., Kahraman, C. (2005). Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Information Sciences, 170(2–4), 191–210.
 
Kwong, C.K., Bai, H. (2003). Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IIE Transactions, 35(7), 619–626.
 
Liao, H., Xu, Z., Herrera-Viedma, E., Herrera, F. (2018). Hesitant fuzzy linguistic term set and its application in decision making: a state-of-the-art survey. International Journal of Fuzzy Systems, 20(7), 2084–2110.
 
del Moral, M.J., Chiclana, F., Tapia, J.M., Herrera-Viedma, E. (2018). A comparative study on consensus measures in group decision making. International Journal of Intelligent Systems, 33(8), 1624–1638.
 
Morente-Molinera, J.A., Kou, G., Pang, C., Cabrerizo, F.J., Herrera-Viedma, E. (2019). An automatic procedure to create fuzzy ontologies from users’ opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods. Information Sciences, 476, 222–238.
 
Mousavi, S.H., Danehkar, A., Shokri, M.R., Poorbagher, H., Azhdari, D. (2015). Site selection for artificial reefs using a new combine Multi-Criteria Decision-Making (MCDM) tools for coral reefs in the Kish Island-Persian Gulf. Ocean & Coastal Management, 111, 92–102.
 
Rodriguez, R.M., Martinez, L., Herrera, F. (2012). Hesitant fuzzy linguistic term sets for decision making. IEEE Transactions on Fuzzy Systems, 20(1), 109–119.
 
Roy, B. (1991). he outranking approach and the foundations of ELECTRE methods. Theory and Decision, 31(1), 49–73.
 
Saaty, T.L. (1980). He Analytic Hierarchy Process: Planning. Priority Setting. Resource Allocation. International Book Company, MacGraw-Hill, New York.
 
Saaty, T.L. (1996). Saaty, Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh.
 
Sambuc, R. (1975). Fonctions Φ-Floues. Application Láide au Diagnostic en Pathologie Thyroidienne. Univ., Marseille, France.
 
Smarandache, F. (2005). Neutrosophic set-a generalization of the intuitionistic fuzzy set. International Journal of Pure and Applied Mathematics, 24(3), 287–295.
 
Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems, 25, 529–539.
 
Turskis, Z., Lazauskas, M., Zavadskas, E.K. (2012). Fuzzy multiple criteria assessment of construction site alternatives for non-hazardous waste incineration plant in Vilnius city, applying ARAS-F and AHP methods. Journal of Environmental Engineering and Landscape Management, 20(2), 110–120.
 
Tuysuz, F., Simsek, B. (2017). A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector. Complex & Intelligent Systems, 3(3), 167–175.
 
Wang, Y.M., Yang, J.B., Xu, D.L., Chin, K.S. (2006). On the centroids of fuzzy numbers. Fuzzy Sets and Systems, 157(7), 916–926.
 
Xu, Z., Xia, M. (2011a). Distance and similarity measures for hesitant fuzzy sets. Information Sciences, 181(11), 2128–2138.
 
Xu, Z., Xia, M. (2011b). On distance and correlation measures of hesitant fuzzy information. International Journal of Intelligent Systems, 26(5), 410–425.
 
Xu, Z., Zhang, X. (2013). Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowledge-Based Systems, 52, 53–64.
 
Yoon, K., Hwang, C.L. (1981). TOPSIS (technique for order preference by similarity to ideal solution) – a multiple attribute decision making. In: Multiple Attribute Decision Making-Methods and Applications, A State-of-the-rt Survey. Springer-Verlag, Berlin.
 
Zadeh, L. (1965). Fuzzy sets. Information and Control, 8, 338–353.
 
Zadeh, L. (1975). The concept of a linguistic variable and its application to approximate reasoning-1. Information Sciences, 8, 199–249.
 
Zavadskas, E.K., Ustinovichius, L., Stasiulionis, A. (2004). Multicriteria valuation of commercial construction projects for investment purposes. Journal of Civil Engineering and Management, 10(2), 151–166.
 
Zavadskas, E.K., Turskis, Z., Kildiené, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 20(1), 165–179.
 
Zavadskas, E.K., Bausys, R., Lazauskas, M. (2015). Sustainable assessment of alternative sites for the construction of a waste incineration plant by applying WASPAS method with single-valued neutrosophic set. Sustainability, 71(12), 15923–15936.
 
Zhang, Z. (2013). Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making. Information Sciences, 234, 150–181.

Biographies

Karasan Ali
akarasan@yildiz.edu.tr

A. Karasan is a research assistant at Yildiz Technical University in the Industrial Engineering Department. He received his BS degree in Industrial Engineering Department from the same university in 2013 and the MS degree in Industrial Engineering Department from the Istanbul Technical University in 2016. He is currently working toward the PhD degree in industrial engineering at the Istanbul Technical University. His research areas are decision making under uncertain environments, multi-criteria decision-making methods, occupational health and safety analysis, fuzzy sets and their extensions and fuzzy inference system. He has several publications in the mentioned areas.

Zavadskas Edmundas Kazimieras
edmundas.zavadskas@vgtu.lt

E.K. Zavadskas is a professor of the Department of Construction Management and Real Estate, director of Institute of Sustainable Construction, and chief research fellow of Laboratory of Operational Research at Vilnius Gediminas Technical University, Vilnius, Lithuania. He has a PhD in building structures (1973) and DrSc (1987) in building technology and management. He is a member of the Lithuanian and several foreign Academies of Sciences. He is doctor honoris causa at Poznan, Saint Petersburg, and Kiev universities. He is the editor in chief and a member of editorial boards of a number of research journals. He is an author and co-author of more than 400 papers and a number of monographs. Research interests are building technology and management, decision-making theory, automation in design and decision support systems.

Kahraman Cengiz
kahramanc@itu.edu.tr

C. Kahraman is a full professor at Istanbul Technical University. His research areas are engineering economics, quality control and management, statistical decision-making, multi-criteria decision-making and fuzzy decision making. He published about 250 journal papers and about 180 conference papers. He became the guest editor of many international journals and the editor of many international books from Springer and Atlantis Press. He is the member of editorial boards of 20 international journals. He organized various international conferences. He was the vice dean of ITU Management Faculty between 2004–2007 and the head of ITU Industrial Engineering Department between 2010–2013.

Keshavarz-Ghorabaee Mehdi
m.keshavarz_gh@yahoo.com

M. Keshavarz Ghorabaee received the BS degree in electrical engineering from the University of Guilan, Rasht, Iran, in 2010 and the MS degree in production management from the Allame Tabataba’i University, Tehran, Iran in 2013. He has published some papers in leading international journals. His research interests include multi-criteria decision making (MCDM), multi-objective evolutionary algorithms, genetic algorithm, fuzzy MCDM, inventory control, supply chain management, scheduling and reliability engineering.


Full article Related articles Cited by PDF XML
Full article Related articles Cited by PDF XML

Copyright
© 2019 Vilnius University
by logo by logo
Open access article under the CC BY license.

Keywords
construction site multi-criteria CODAS hesitant fuzzy sets selection problem

Metrics
since January 2020
1541

Article info
views

699

Full article
views

781

PDF
downloads

265

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy