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2017 | 132 | 3 | 974-977
Article title

Selection of Construction Project Taking into Account Technological and Organizational Risk

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Content
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Languages of publication
EN
Abstracts
EN
During the implementation of construction projects, there is permanently a certain level of technological and organizational risk. This is due to the fact that the data on conditions for a construction project tend to have different levels of uncertainty. Even the projects of the same size and terms of implementation vary. The failure risk of individual works results from technological and organizational factors, such as, for example, the difficulty of technological execution of individual works; availability of construction materials; the difficulty of the organization of individual works; availability of qualified personnel, availability of necessary machinery and equipment in the technology, etc. These factors affect the time and the cost of construction projects. When taking into account their influence, while selecting an option for construction project, it is crucial to maintain the contractual cost and time. An example of the option selection for construction project implementation is presented in this article, including technological and organizational risk, using the fuzzy sets theory and linguistic variables.
Keywords
EN
Publisher

Year
Volume
132
Issue
3
Pages
974-977
Physical description
Dates
published
2017-09
Contributors
author
  • Warsaw University of Technology, The Faculty of Civil Engineering, Warsaw, Poland
References
  • [1] N. Ibadov, J. Rosłon, Arch. Civil Engin. 61, 105 (2015), doi: 10.1515/ace-2015-0028
  • [2] N. Ibadov, AIP Conf. Proc. 1738, 200005 (2016), doi: 10.1063/1.4951977
  • [3] N. Ibadov, Acta Phys. Pol. A 130, 107 (2016), doi: 10.12693/APhysPolA.130.107
  • [4] L.A. Zadeh, Inform. Control 8, 338 (1965), doi: 10.1016/S0019-9958(65)90241-X
  • [5] D. Rutkowska, M. Piliński, L. Rutkowski, Sieci neuronowe, algorytmy genetyczne i systemy rozmyte, PWN, Warszawa 1997
  • [6] R.R. Yager, D.P. Filev, Podstawy modelowania i sterowania rozmytego, WNT, Warszawa 1995
  • [7] N.G. Adar, A. Egrisogut Tiryaki, R. Kozan, Acta Phys. Pol. A 128, B-348 (2015), doi: 10.12693/APhysPolA.128.B-348
  • [8] I. Akkurt, C. Basyigit, S. Kilincarslan, A. Beycioglu, J. Franklin Inst. 347, 1589 (2010), doi: 10.1016/j.jfranklin.2010.06.002
  • [9] A. Beycıoğlu, C. Başyığıt, Acta Phys. Pol. A 128, B-424 (2015), doi: 10.12693/APhysPolA.128.B-424
  • [10] M. Bilgehan Erdem, Acta Phys. Pol. A 130, 331 (2016), doi: 10.12693/APhysPolA.130.331
  • [11] S. Subası, A. Beycioglu, E. Sancak, I. Sahin, Neural Comput. Applic. 22, 1133 (2013), doi: 10.1007/s00521-012-0879-4
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-app132z3-iip044kz
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