caa a22 4500 467922675 CHVBK 20180406152921.0 cr unu---uuuuu 170328e20061101xx s 000 0 eng 10.1007/s00477-006-0042-9 doi (NATIONALLICENCE)springer-10.1007/s00477-006-0042-9 Risk-based environmental decision-making using fuzzy analytic hierarchy process (F-AHP) [Elektronische Daten] [Solomon Tesfamariam, Rehan Sadiq] Environmental risk management is an integral part of risk analyses. The selection of different mitigating or preventive alternatives often involve competing and conflicting criteria, which requires sophisticated multi-criteria decision-making (MCDM) methods. Analytic hierarchy process (AHP) is one of the most commonly used MCDM methods, which integrates subjective and personal preferences in performing analyses. AHP works on a premise that decision-making of complex problems can be handled by structuring the complex problem into a simple and comprehensible hierarchical structure. However, AHP involves human subjectivity, which introduces vagueness type uncertainty and necessitates the use of decision-making under uncertainty. In this paper, vagueness type uncertainty is considered using fuzzy-based techniques. The traditional AHP is modified to fuzzy AHP using fuzzy arithmetic operations. The concept of risk attitude and associated confidence of a decision maker on the estimates of pairwise comparisons are also discussed. The methodology of the proposed technique is built on a hypothetical example and its efficacy is demonstrated through an application dealing with the selection of drilling fluid/mud for offshore oil and gas operations. Springer-Verlag, 2006 Analytic hierarchy process (AHP) nationallicence Fuzzy arithmetic nationallicence Multi-criteria decision-making (MCDM) nationallicence Risk attitude nationallicence Drilling fluids nationallicence ( a , b , c ) : Triangular fuzzy number nationallicence CI : Consistency index nationallicence CR : Consistency ratio nationallicence $$\tilde{F}_{{Ai}}$$ : Final fuzzy AHP score nationallicence $$\tilde{G}_{k}$$ : Fuzzy global preference weights nationallicence $$\tilde{J}$$ : Fuzzy judgment matrix nationallicence $$\tilde{j}_{{ij}}$$ : Pairwise comparison index in fuzzy judgment matrix nationallicence RI : Random index nationallicence $$R_{\alpha}^{{\lambda _{{\rm RI}}}}$$ : Risk index value nationallicence U T ( A i ) : Total utility or ordering value (Chen's method) nationallicence $${\tilde{w}}_{i}$$ : Fuzzy weight (where i =1 to n) nationallicence W : Eigenvector value nationallicence X i , j k : Risk item, where i is the order of the child in the level/layer k of hierarchical structure, and j is the parent of the child nationallicence x O ( A i ) : Geometric center of an alternative (Yager centroid index) nationallicence α : Alpha cut of fuzzy number nationallicence λ : Eigenvalue nationallicence λmax : Maximum eigenvalue nationallicence λRI : Risk attitude nationallicence μ x : Membership function of x nationallicence Tesfamariam Solomon Institute for Research in Construction, National Research Council Canada, K1A 0R6, Ottawa, ON, Canada aut Sadiq Rehan Institute for Research in Construction, National Research Council Canada, K1A 0R6, Ottawa, ON, Canada aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 21/1(2006-11-01), 35-50 1436-3240 21:1<35 2006 21 477 https://doi.org/10.1007/s00477-006-0042-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-006-0042-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tesfamariam Solomon Institute for Research in Construction, National Research Council Canada, K1A 0R6, Ottawa, ON, Canada aut NATIONALLICENCE 700 1- Sadiq Rehan Institute for Research in Construction, National Research Council Canada, K1A 0R6, Ottawa, ON, Canada aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 21/1(2006-11-01), 35-50 1436-3240 21:1<35 2006 21 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer