Titlebook: Intelligent Decision and Policy Making Support Systems; Ruan,Frank Hardeman,Klaas Meer Book 2008 Springer-Verlag Berlin Heidelberg 2008 Co

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北极熊

Personalized Pedestrian Navigation System with Subjective Preference Based Route Selection,measures and integrals model applied to route selection. The presented method selects the route with the highest subjective satisfaction degree which is estimated by a road satisfaction degree evaluation model (RSEM). The RSEM applies fuzzy measures and integrals to calculate the subjective satisfac

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Override

An Intelligent Recommender System for Web Resource Discovery and Selection,racticed. Soon the Web will be populated with abundant resources that can be accessed, shared and reused, which will inevitably lead to resource overflow. This chapter introduces a semantic-enabled, knowledge-based intelligent recommender system for Web resource discovery, selection and effective us

airborne

高原

,Handling Uncertain and Qualitative Information in Impact Assessment – Applications of IDS in Policynally handle and make maximum use of information in uncertain and qualitative data so that the best course of action can be reliably identified. It is discussed in this chapter how the Evidential Reasoning (ER) approach for multiple criteria decision analysis (MCDA) can be used to take the challenge

CRASS

Fuzzy Decision Trees as Intelligent Decision Support Systems for Fault Diagnosis,es on a systematic procedure to manipulate measured data of the monitored variables for constructing transparent fuzzy if-then rules associating different patterns of evolution to different faults and anomalies. The resulting fuzzy classification model can then be represented in the form of a Fuzzy

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Linguistic Assessment Approach for Hierarchical Safety Analysis and Synthesis,e information is missing, incomplete or unreliable. This chapter introduces a safety model based on the concept of approximate reasoning for safety analysis. Parameters of the safety level, including failure rate, failure consequence severity and failure consequence probability, are all described by

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A Complex Abstraction Approach to Radioactive Waste Management Policy Decision Making,technical feasibilities, cost-benefit analyses, expert opinions and legal norms. Typically, however, there exists a gap between the risk perceptions of experts and the public, which adversely affects the societal acceptability of these decisions. Eliciting risk-based decision-criteria elements from