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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
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Application of Fuzzy Delphi Method for the selection of factors influencing the selection of best bridge site


Volume 9, Issue 4, December 2014, Pages 1687–1690

 Application of Fuzzy Delphi Method for the selection of factors influencing the selection of best bridge site

T. Vrinda1 and Dr. M.S. Kalappa2

1 Research Scholar, Department of Civil Engineering, Malnad College of Engineering, Hassan, Karnataka, India
2 Professor, Department of Civil Engineering, Malnad College of Engineering, Hassan, Karnataka, India

Original language: English

Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


The present paper describes about the application of one of the well structured technique called Fuzzy Delphi Method for the selection of factors influencing the selection of best bridge site. Selection of bridge site depends on various factors and it requires expertise knowledge of the domain Experts. Fuzzy Delphi Method which relies on expert opinion is one of the efficient technique to identify the influential factors which are to be considered for the selection of bridge site. Fuzzy Delphi Method involves two stages. The first stage involves set of interviews with the experts and responses are collected using Likert scale which is then reduced to 1-10 point scale for the selection of influential factors. In the second stage some of the non influential factors are eliminated by appropriate threshold value.

Author Keywords: Fuzzy Delphi, Expert, Threshold, Knowledge, Domain.


How to Cite this Article


T. Vrinda and Dr. M.S. Kalappa, “Application of Fuzzy Delphi Method for the selection of factors influencing the selection of best bridge site,” International Journal of Innovation and Applied Studies, vol. 9, no. 4, pp. 1687–1690, December 2014.