Evaluating the Power Consumption in Carbonate Rock Sawing Process by Using FDAHP and TOPSIS Techniques

Mikaeil, Reza; Ataei, Mohammad; Yousefi, Reza

doi:10.5772/16332

Cited by 6 publications

(1 citation statement)

References 70 publications

(33 reference statements)

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“…In a paper under the title "theory of fuzzy sets", the basis and foundation of fuzzy logic have been provided by Zadeh in 1965 [29]. The fuzzy logic is a multivalued logic which is used as a powerful and flexible instrument contrary to the classic logic for modeling certainties and uncertainties and linguistic expressions in terms of mathematical relations [30][31][32][33]. One of the applications of the fuzzy logic is fuzzy classification.…”

Section: Fuzzy Clustering Techniquementioning

confidence: 99%

Utilization of Soft Computing for Risk Assessment of a Tunneling Project Using Geological Units

Haghshenas

Barmal

et al. 2016

Civ Eng J

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Soft computing is one of the most efficient tools for analysing risk taking in civil engineering projects. Therefore, in this paper, using Fuzzy C-means (FCM) technique as one of the most efficient and important classification methods in the area of soft computing, risk in the tunnelling project was evaluated and analysed. For this reason, considering three mechanical and physical parameters influencing the design and execution of the tunnelling project including overburden (H), internal friction angle (Phi) and cohesion (C), geological units were classified along the project's route. The present study has been conducted on the third section of Ghomrud tunnel as one of the greatest tunnelling projects in the centre of Iran. Results obtained from the evaluation of geological units along the tunnelling project's route after the validation of drilling rate index’s results show the appropriate evaluation of the project’s risk through fuzzy clustering technique.

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