**Chapter 12**

**References**

[1] Alzarrad MA, Fonseca D. A new model to optimize project time-cost trade-off in an uncertain environment. In: Moynihan G, editor. Contemporary Issues and Research in Operations Management. Rijeka, Croatia: IntechOpen; 2018. pp. 95-112. DOI:

*Concepts, Applications and Emerging Opportunities in Industrial Engineering*

[9] Fayek AR, Jose RRF. Application of fuzzy logic to quality assessment of infrastructure projects at conceptual cost estimating stage. Canadian Journal of Civil Engineering. 2010;**37**(8):

[10] Mohagheghi V, Mousavi SM, Vahdani B. Analyzing project cash flow by a new interval type-2 fuzzy model with an application to construction industry. Neural Computing and Applications. 2017;**28**(4):3393-3411

[11] Ayhan MB. Fuzzy TOPSIS application for supplier selection problem. International Journal of Information Management. 2013;**5**(2):

[12] Maxwell D, Back W, Toon J. Optimization of crew configurations using activity-based costing. Journal of Construction Engineering Management.

1988;**124**(2):162-168

1137-1147

159-174

[2] Morin MA, Ficarazzo F. Monte Carlo simulation as a tool to predict blasting fragmentation based on the Kuz-Ram model. Computers & Geosciences.

[3] Kim Y. Monte Carlo vs. fuzzy Monte Carlo simulation for uncertainty and

Sustainability. 2017;**9**(4):539-554. DOI:

[4] Mitropoulos LK, Prevedouros PD, Yu X, Nathanail EG. A fuzzy and a Monte Carlo simulation approach to assess sustainability and rank vehicles in urban environment. Transportation Research Procedia. 2017;**24**:296-303. DOI: 10.1016/j.trpro.2017.05.121

[5] Alzarrad MA, Moynihan GP, Hatamleh MT, Song S. Fuzzy multicriteria decision-making model for time-cost-risk trade-off optimization in construction projects. Advances in Civil Engineering. 2019;**4**:1-7. Article ID: 7852301. DOI: 10.1155/2019/7852301

[6] Sadeghi N, Fayek AR, Pedrycz W. Fuzzy Monte Carlo simulation and risk assessment in construction. Computer-

Engineering. 2010;**25**(4):238-252. DOI: 10.1111/j.1467-8667.2009.00632.x

approximate reasoning. Synthese. 1975;

[8] Li J, Moselhi O, Alkass S. Forecasting project status by using fuzzy logic. Journal of Construction Engineering and Management. 2006;**132**(11):1193-1202

Aided Civil and Infrastructure

[7] Zadeh LA. Fuzzy logic and

**30**(34):407-428

**178**

10.5772/intechopen.74022

global sensitivity analysis.

2006;**32**(3):352-359

10.3390/su9040539
