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Journal ArticleDOI

A simulation approach for ranking of fire safety attributes of existing buildings

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TLDR
In this article, the priority ranking of each fire safety attribute given by each evaluator and his/her evaluation on each pairwise comparison are combined to construct an approximate probability density distribution.
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This article is published in Fire Safety Journal.The article was published on 2004-10-01. It has received 61 citations till now. The article focuses on the topics: Pairwise comparison & Ranking.

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Citations
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Uncertainty and sensitivity analysis in building performance simulation for decision support and design optimization

TL;DR: In this paper, a prototype simulation based environment that provides add-ons like uncertainty and sensitivity analysis, multi-criteria and disciplinary decision making under uncertainty, and multi-objective optimization is presented.
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A game theory based exit selection model for evacuation

TL;DR: In this paper, a game theory based evacuation choice model for evacuation is presented, which is integrated in an evacuation model and demonstrates that the evacuees' interaction can affect the evacuation pattern and clearance time of a multi-exit zone.
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Solving Civil Engineering Problems by Means of Fuzzy and Stochastic MCDM Methods: Current State and Future Research

TL;DR: It is stated that before long the decision-making in civil engineering may face several methodological problems: the need to combine fuzzy and probabilistic representations of uncertainties in one decision- making matrix, the necessity to extend a global sensitivity analysis to all input elements of a MCDM problem with uncertainties, and an application of M CDM methods in the areas of civil engineering where decision- Making under uncertainty is presently not common.
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A Post-fire Survey on the Pre-evacuation Human Behavior

TL;DR: In this paper, a post-fire survey for a multi-storey office building fire in a major city in Mainland China was carried out with the assistance of local fire professionals.
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Compartment fire risk analysis by advanced Monte Carlo simulation

TL;DR: In this paper, a stochastic simulation approach called Subset Simulation is presented for quantitative fire risk analysis with a focus on the critical temperature in a compartment fire event, where random samples leading to progressive failure are generated efficiently and they are used for computing probabilistic performance measures by statistical averaging.
References
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Book

Decisions with Multiple Objectives: Preferences and Value Trade-Offs

TL;DR: In this article, a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives.
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A Scaling Method for Priorities in Hierarchical Structures

TL;DR: A method of scaling ratios using the principal eigenvector of a positive pairwise comparison matrix is investigated, showing that λmax = n is a necessary and sufficient condition for consistency.
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Uncertainty and rank order in the analytic hierarchy process

TL;DR: In this paper, the authors investigate the effect of uncertainty in judgment on the stability of the rank order of alternatives, by associating with each judgment an interval of numerical values, leading to estimating the probability that an alternative or project exchanges rank with other projects.
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Incomplete pairwise comparisons in the analytic hierarchy process

TL;DR: In this article, the authors explore various methods for reducing the complexity of the preference eliciting process in a group decision-making session, where the group structures the problem in a hierarchical framework and pairwise comparisons are elicited from the group for each level of the hierarchy.
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An Experimental Comparison of Different Approaches to Determining Weights in Additive Utility Models

TL;DR: In this paper, Saaty et al. compared five conceptually different approaches in terms of their weights and predictive ability, and found that on average, the methods predicted about equally well, except for unit weighting which was clearly inferior.
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