A Methodology to Improve the Decision-Making Process

Author:

Nikulin Christopher1,Solis Paulina1,López-Campos Mónica1

Affiliation:

1. Federico Santa María Technical University, Valparaíso, Chile

Abstract

The modeling approach is relevant to support the decision-making process. Modeling requires a structured approach, knowledge and specific analytical skills in order to obtain an appropriate representation of the situation under analysis. Nevertheless, creating a good representation of the reality is not a simple task; it is not trivial to choose an analysis approach since most of decision-makers could have partial lacks information during the different stages of the modeling process. Considering this, we propose a methodology to support the decision-making process by using a novel structured integration of different quantitative and qualitative tools, such as system dynamics, decision theory and the theory of inventive problem solving (TRIZ), in order to simplify the modeling process in complex analysis. A case study attempts to illustrate the application of the methodology in a real problem situation, related to the analysis of disasters within the boundaries of Valparaíso City, specifically fires.

Publisher

IGI Global

Subject

Artificial Intelligence,Management of Technology and Innovation,Information Systems and Management,Organizational Behavior and Human Resource Management,Strategy and Management,Information Systems

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A TRIZ-based Exploration of Consumers’ Purchase Decision of Middle- and High-grade New Energy Vehicles;Applied Mathematics and Nonlinear Sciences;2024-01-01

2. Rule-Based Actionable Intelligence for Disaster Situation Management;International Journal of Knowledge and Systems Science;2020-07

3. Managing Asymmetric Information Effects in Decision-Making Productivity-Based Model;International Journal of Knowledge and Systems Science;2020-04

4. TRIZ Innovative Method for Eliminating Fissures in 3D Panorama Image Stitching;IOP Conference Series: Earth and Environmental Science;2020-02-01

5. Digital twin enhanced Theory of Inventive Problem Solving innovative design;Digital Twin Driven Smart Design;2020

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