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https://www.sciencedirect.com/science/article/pii/S0925527399000912
Apr 01, 2000 · The research work described in this paper demonstrates that development of intelligent decision support tools for the design of FMS is now within the realms of possibility. The design of FMS is employed with a simulation approach supported by an expert system tool.Cited by: 189
http://www.pitt.edu/~druzdzel/psfiles/dss.pdf
Decision support systems are gaining an increased popularity in various domains, including busi- ... providing intelligent access to relevant knowledge, and aiding the process of structuring decisions. ... analysis, and statistics. In each of these modeling tools, knowledge about a system is represented by means of algebraic, logical, or ...
https://www.journals.elsevier.com/applied-soft-computing/former-call-for-papers/special-issue-on-intelligent-decision-support-systems-based
In recent years, intelligent decision support systems based on soft computing have attracted the attention of both academic, researchers and practitioners in a wide range of disparate areas from computing science, engineering, operations research, economics and also management.
https://www.capterra.com/decision-support-software/
Find the best Decision Support Software for your business. Compare product reviews and features to build your list. ... Discussion and decision-support tools to help your team achieve clear outcomes. ... Decision support system that helps businesses make informed decisions by structuring data, measuring data objectives & more.
https://www.sciencedirect.com/science/article/pii/016792369290053R
In this view, an intelligent decision support system (IDSS) is an interactive tool for decision making for well-structured (or well-structurable) decision and planning situations that uses expert system techniques as well as specific decision models to make it a model-based expert system (integration of information systems and decision models ...Cited by: 135
https://www.springer.com/gp/book/9783319740010
This book presents innovative and high-quality research regarding advanced decision support systems (DSSs). It describes the foundations, methods, methodologies, models, tools, and techniques for designing, developing, implementing and evaluating advanced DSSs in different fields, including finance, health, emergency management, industry and pollution control.
https://www.ijcai.org/proceedings/2017/0736.pdf
on decision making performed manually; the involvement of an automated system is becoming a requirement. However, in the modelling of intelligent support tools, it is important to understand that, as part of the decision making process, humans consider far more knowledge than that con-tained in the database; they primarily incorporate into the pro-
https://www.hindawi.com/journals/sp/si/295240/cfp/
Intelligent decision support systems (IDSSs) are widely used in various computer science applications for intelligent decision-making. To implement these IDSSs, machine learning algorithms and diverse programming paradigms and frameworks are required. Machine learning and prediction algorithms are abundant in nature and produce variable results.
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