A new trend for knowledge-based decision support systems design

@article{Zarat2016ANT,
  title={A new trend for knowledge-based decision support systems design},
  author={Pascale Zarat{\'e} and Shaofeng Liu},
  journal={Int. J. Inf. Decis. Sci.},
  year={2016},
  volume={8},
  pages={305-324}
}
Knowledge-based decision support systems (KBDSS) have evolved greatly over the last few decades. The key technologies underpinning the development of KBDSS can be classified into three categories: technologies for knowledge modelling and representation, technologies for reasoning and inference and web-based technologies. In the meantime, service systems have emerged and become increasingly important to value adding activities in the current knowledge economy. This paper provides a review on the… 

Figures from this paper

Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability
TLDR
This paper proposes a new generation of intelligent decision support systems for Business Model having the ability to provide explanations to increase confidence in proposed solutions and makes a great promise for supporting business model design, sustainability, and innovation.
Modeling a Knowledge-Based System for Cyber-physical Systems: Applications in the Context of Learning Analytics
TLDR
This document shows how a knowledge-based system based on semantic web technologies and IBM’s reference model of Autonomic Computing (AC) can offer intelligent collaboration and coordination between people, data, services, robots and connected objects in the implementation of self-management processes in cyber-physical systems.
Knowledge Management Model Based on the Enterprise Ontology for the KB DSS System of Enterprise Situation Assessment in the SME Sector
  • J. Andreasik
  • Computer Science
    Advances in Intelligent Systems and Computing
  • 2018
TLDR
This model is the basis of construction of the Knowledge Based Decision Support System (KB DSS) for evaluation of situation of enterprises in the SME sector and is consistent with the Case Based Reasoning (CBR) methodology.
DSS-Based Ontology Alignment in Solid Reference System Configuration
TLDR
The approach taken to overcome the problems derived form the previous architecture is described, by adopting (i) ontologies for the specification of business concepts and (ii) an information-integration Decision Support System (DSS) for mapping the domain specific ontologies to the database schemas.
Integrating Agents into a Collaborative Knowledge-based System for Business Rules Consistency Management
TLDR
This paper presents a collaborative approach that utilizes domain ontology and agents and gives to domain expert an opportunity to store different forms of retrieved knowledge from experiences, design rules, business rules, decision processes, etc.
Towards a knowledge management framework for crossing knowledge boundaries in agricultural value chain
TLDR
The most common knowledge boundaries that are reported in the literature are identified, and a general framework for a preparation of a decision support system to evaluate the existing knowledge boundaries is proposed.
DSL-Based Configuration of Solid Referential Management System: A Case Study
TLDR
This paper presents and overview of the re-engineering process taken to handle this business model change by adopting (i) ontologies for the specification of business concepts, (ii) closed-world assumption (CWA) rules for the specifications of the dynamics of the system and (iii) Domain Specific Language (DSL) for the configuration of the System by domain/business experts.
Hybrid Intelligent Decision Support Using a Semiotic Case-Based Reasoning and Self-Organizing Maps
TLDR
A hybrid intelligent decision support approach is presented, which combines case-based reasoning cycle, semiotic concepts, and self-organizing maps and affords better interpretability and contextualization of candidate solutions without compromising efficiency and precision.
...
...

References

SHOWING 1-10 OF 90 REFERENCES
Knowledge Based Decision Support Systems: A Survey on Technologies and Application Domains
TLDR
Based on the examination of literature, future research directions are recommended for the development of KBDSS in general and in particular to support group decision making.
Knowledge Management in Environmental Decision Support Systems
TLDR
In this paper, a first approach to put forward a Knowledge Management Methodology by identifying the most relevant issues, is introduced and discussed.
Integration of decision support systems to improve decision support performance
TLDR
By addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes, this paper concludes.
Knowledge Maturity as a Means to Support Decision Making during Product-Service Systems Development Projects in the Aerospace Sector
TLDR
The concept of knowledge maturity is explored as a means to provide practical decision support, which increases decision makers’ awareness of the knowledge base and supports cross-boundary discussions on the perceived maturity of available knowledge, thereby identifying and mitigating limitations.
Inference Processes in Decision Support Systems with Incomplete Knowledge
TLDR
A new approach in the optimization of inference processes in decision support systems with incomplete knowledge based on clustering large set of rules from knowledge bases as long as it is necessary to find a relevant rule as quickly as possible is proposed.
A pattern-based knowledge editing system for building clinical Decision Support Systems
A narrative-based reasoning with applications in decision support for social service organizations
Semantic Web Tools and Decision-Making
TLDR
The general objectives of the semantic web tools are reviewed and characterized, as well as the categories of decision support tools, in order to establish an intersection of utility and use.
...
...