Expert knowledge elicitation for decision-making in home energy retrofits

2014 ◽  
Vol 32 (5) ◽  
pp. 377-395 ◽  
Author(s):  
Daniel Yaw Addai Duah ◽  
Kevin Ford ◽  
Matt Syal
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Expert Knowledge ◽  
Knowledge Elicitation ◽  
Content Type ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Intelligent Decision Support

Purpose – The purpose of this paper is to develop a knowledge elicitation strategy to elicit and compile home energy retrofit knowledge that can be incorporated into the development of an intelligent decision support system to help increase the uptake of home energy retrofits. Major problems accounting for low adoption rates despite well-established benefits are: lack of information or information in unsuitable and usable format for decision making by homeowners. Despite the important role of expert knowledge in developing such systems, its elicitation has been fraught with challenges. Design/methodology/approach – Using extensive literature review and a Delphi-dominated data collection technique, the relevant knowledge of 19 industry experts, selected based on previously developed determinants of expert knowledge and suitable for decision making was elicited and compiled. Boolean logic was used to model and represent such knowledge for use as an intelligent decision support system. Findings – A combination of comprehensive knowledge elicitor training, Delphi technique, semi-structured interview, and job shadowing is a good elicitation strategy. It encourages experts to describe their knowledge in a natural way, relate to specific problems, and reduces bias. Relevant and consensus-based expert knowledge can be incorporated into the development of an intelligent decision support system. Research limitations/implications – The consensus-based and relevant expert knowledge can assist homeowners with decision making and industry practitioners and academia with corroboration and enhancement of existing knowledge. The strategy contributes to solving the knowledge elicitation challenge. Originality/value – No previous study regarding a knowledge elicitation strategy for developing an intelligent decision support system for the energy retrofit industry exists.

Thermal Power Plant Bidding Strategies IDSS Analysis and Design

2013 ◽  
Vol 717 ◽  
pp. 899-903
Author(s):  
Hong Fei Sun ◽  
Wei Hou ◽  
Yan Yan Wang ◽  
Rui Ling Lu
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Power Plant ◽  
Decision Support System ◽  
Support System ◽  
Bidding Strategies ◽  
Intelligent Decision Support System ◽  
Analysis And Design ◽  
Intelligent Decision ◽  
Intelligent Decision Support

The bidding decision-making of power plant was a complicated system engineering which had high complexity and real-time, so power plant must rely on the support of information technology to complete the bidding. Therefore, how to use all kinds of advanced information technologies had become one of topics which broad power enterprises must face. This paper established a kind of intelligent decision support system (IDSS) which was based on multi-agent intelligent decision support system and combined with the data warehouse, data mining and on-line analysis processing. Compared with the former information management, IDSS had so many advantages in auxiliary support for decision-making. If it was applied to power plant bidding strategies or other semi-structural and unstructured problems in power market, it would provide good auxiliary support for them.

Application of Intelligent Decision Support System in Enterprise Management

2013 ◽  
Vol 709 ◽  
pp. 740-743
Author(s):  
Yong Jie Tan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Social Economy ◽  
Living Environment ◽  
Enterprise Management ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Intelligent Decision Support

Decision-making in the process of business operations is a more complex management task and is a core part of enterprise management. With the continuous development of the social economy, the living environment of enterprises is increasingly complex and the competition among enterprises becomes increasingly fierce. Intelligent Decision Support System is a new information technology that can provide information and solutions for enterprise management, help managers quickly process information, reduce their burden of work, and enhance managers efficiency and quality of decision-making.

scholarly journals THE CONCEPT OF CREATING AN INTELLECTUAL CORE OF AN INTEGRATED INFORMATION AND ANALYTICAL SYSTEM FOR ACTION IN EMERGENCIES OF MAN-MADE NATURE

2021 ◽  
pp. 40-49
Author(s):  
Yuliia Kuznetsova ◽  
Maksym Somochkin
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Emergency Situation ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Analytical System ◽  
Intelligent Decision Support ◽  
Integrated Information

Subject matter. Informatization of processes of counteraction to man-made emergencies. Goal. Improving the effectiveness of the process of information support for decision-making in overcoming the consequences of man-made emergencies, in terms of its intellectualization, by creating a concept of integration of various software tools within a single, homogeneous space of knowledge about strategic, tactical and operational actions in a wide range of accidents and disasters related to the operation of technical facilities. Tasks. Develop a formal statement of the problem of decision-making in an emergency situation and justify the methodology of its implementation based on the integration of knowledge tools with various analytical models that describe the processes of emergency. Consider the application of the proposed methodology on a scenario that reproduces the situation on the site after the leakage of a highly toxic substance. Methods. System analysis - in the development of a comprehensive process model for decision-making in an emergency; software engineering - when creating the architecture of an integrated intelligent decision support system in emergencies of man-made nature; physics of the processes of distribution of toxic chemicals in the atmosphere - in the development of a scenario of the situation at the site in an emergency situation at an industrial site. Results. The concept of creating an integrated intelligent decision support system for overcoming the consequences of man-made emergencies, in particular, the formal formulation of a typical problem of decision-making in emergencies is described, as well as the basic principles of its solution, and the formulation of the problem of modeling management processes associated with man-made emergencies is developed. Conclusions. The concept of creating an integrated information-analytical system to support decision-making in man-made emergencies is presented. Within the framework of this concept, formal models of decision-making in man-made emergencies and an approach to the integration of diverse software within a single, homogeneous knowledge space on comprehensive measures to overcome the consequences of emergencies related to accidents and disasters at technical facilities infrastructure. The scenario example of the organization of intellectual support of decisions at release into the atmosphere of a toxic chemical is considered.

Fuzzy logic–based evaluation of visualizations generated by intelligent decision support systems

2016 ◽  
Vol 17 (1) ◽  
pp. 3-21 ◽  
Author(s):  
Hela Ltifi ◽  
Saber Amri ◽  
Mounir Ben Ayed
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Intelligent Decision Support Systems ◽  
Intelligent Decision Support

The development of intelligent decision support systems requires much research effort to solve decision-making problems’ complexity. In fact, the combination of both intelligent components and visualization aspects in intelligent decision support system required a lot of efforts in order to develop advanced information visualization schemes for decision-making processes. For this, an efficient evaluation of these systems has become a major concern for applications in multiple fields. The reports of the existing usability evaluation studies are helpful to verify the potential and the limitations of these tools. However, it is important to integrate more relevant metrics for visual analytics tasks in dynamic intelligent decision support system. The proposed method consists of a questionnaire that is given to the users and a subsequent analysis of the resulting data using fuzzy logic. The advantage of the fuzzy model is its ability to transform the input survey scores into linguistic variables, as well as linguistic evaluation of the overall intelligent decision support system visualization tool. With this approach, it is possible to model the vagueness in the ordinal judgments obtained from the users’ evaluation about the visualizations of intelligent decision support system and to support uncertainty in such evaluation.

Sign in / Sign up

Export Citation Format

Share Document