Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
MCDA Application via DSS Software
This chapter focuses on applying multiple‐criteria decision analysis (MCDA) through a decision support system (DSS), a computerized program used to support determinations, judgments, and courses of action in an organization or a business. A DSS sifts through and analyzes massive amounts of data, compiling comprehensive information that can be used in problem‐solving and decision‐making. Following a brief introduction to MCDA and DSS in the context of the ReIDMP platform, three primary areas of interest for creating a resilient City of Norfolk are described, along with the proposed actions. Then, Logical Decision ® for Windows (LDW) is used to model each area of interest (i.e. environment, economy, and society) to explore a ranking of proposed actions (alternatives) regarding their associated strategies (i.e. attributes) and targeted objectives (i.e. goal). This analysis is then repeated using Intelligent Decision System (IDS) and its enhanced capability to address probability uncertainty, subjective judgments, belief function, and the evidential reasoning approach for attribute aggregation. The top‐three alternatives' priority on each goal is adopted and combined as a complete version of the decision model to analyze the prioritization. Findings are provided and discussed along the way.
MCDA Application via DSS Software
This chapter focuses on applying multiple‐criteria decision analysis (MCDA) through a decision support system (DSS), a computerized program used to support determinations, judgments, and courses of action in an organization or a business. A DSS sifts through and analyzes massive amounts of data, compiling comprehensive information that can be used in problem‐solving and decision‐making. Following a brief introduction to MCDA and DSS in the context of the ReIDMP platform, three primary areas of interest for creating a resilient City of Norfolk are described, along with the proposed actions. Then, Logical Decision ® for Windows (LDW) is used to model each area of interest (i.e. environment, economy, and society) to explore a ranking of proposed actions (alternatives) regarding their associated strategies (i.e. attributes) and targeted objectives (i.e. goal). This analysis is then repeated using Intelligent Decision System (IDS) and its enhanced capability to address probability uncertainty, subjective judgments, belief function, and the evidential reasoning approach for attribute aggregation. The top‐three alternatives' priority on each goal is adopted and combined as a complete version of the decision model to analyze the prioritization. Findings are provided and discussed along the way.
MCDA Application via DSS Software
Gheorghe, Adrian (Autor:in) / Katina, Polinpapilinho (Autor:in)
Gamification for Resilience ; 163-190
27.07.2023
28 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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