Research Article

A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System

Volume: 4 Number: 4 December 27, 2017
EN

A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System

Abstract

Conflicts in public construction works usually comprise many complex and interrelated factors that mostly stem from contracting parties’ contradictions including ambiguity and vagueness. Resolution process through a court system is a costly, time-consuming activity and could delay the completion of a construction project. Therefore, planned public services might be postponed and both the project cost and the project quality might be adversely affected. The aim is to develop a conflict resolution model by using fuzzy expert systems, establishing a cause and effect relation according to both sides’ opinions.

Keywords

References

  1. Adrian, J.J., 1993. Construction claims: a quantitative approach, Stipes Publishing L.L.C. , Champaing, IL, USA.

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Burak Oz
Türkiye

Ekrem Manisalı This is me
Türkiye

Publication Date

December 27, 2017

Submission Date

March 8, 2017

Acceptance Date

October 11, 2017

Published in Issue

Year 2017 Volume: 4 Number: 4

APA
Oz, B., Anbarcı, M., & Manisalı, E. (2017). A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System. Gazi University Journal of Science Part A: Engineering and Innovation, 4(4), 67-83. https://izlik.org/JA75SK48TR
AMA
1.Oz B, Anbarcı M, Manisalı E. A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System. GU J Sci, Part A. 2017;4(4):67-83. https://izlik.org/JA75SK48TR
Chicago
Oz, Burak, Murat Anbarcı, and Ekrem Manisalı. 2017. “A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System”. Gazi University Journal of Science Part A: Engineering and Innovation 4 (4): 67-83. https://izlik.org/JA75SK48TR.
EndNote
Oz B, Anbarcı M, Manisalı E (December 1, 2017) A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System. Gazi University Journal of Science Part A: Engineering and Innovation 4 4 67–83.
IEEE
[1]B. Oz, M. Anbarcı, and E. Manisalı, “A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System”, GU J Sci, Part A, vol. 4, no. 4, pp. 67–83, Dec. 2017, [Online]. Available: https://izlik.org/JA75SK48TR
ISNAD
Oz, Burak - Anbarcı, Murat - Manisalı, Ekrem. “A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System”. Gazi University Journal of Science Part A: Engineering and Innovation 4/4 (December 1, 2017): 67-83. https://izlik.org/JA75SK48TR.
JAMA
1.Oz B, Anbarcı M, Manisalı E. A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System. GU J Sci, Part A. 2017;4:67–83.
MLA
Oz, Burak, et al. “A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System”. Gazi University Journal of Science Part A: Engineering and Innovation, vol. 4, no. 4, Dec. 2017, pp. 67-83, https://izlik.org/JA75SK48TR.
Vancouver
1.Burak Oz, Murat Anbarcı, Ekrem Manisalı. A Conflict Resolution Model Identifying Cause and Effect Relations by Using Fuzzy Expert System. GU J Sci, Part A [Internet]. 2017 Dec. 1;4(4):67-83. Available from: https://izlik.org/JA75SK48TR