Concept of design, requirements and generalized architectures of components of the integrated onto-oriented information environment of simulation and processing of cyclic signals

The article gives the reasoning to the relevance of developing a generalized architecture of integrated onto-oriented information environment for simulation and processing of cyclic signals based on the theory of cyclic functional relations, as well as formulates the general requirements to it and its developingt. The research deals with statement of and creating the generalized architectures of the components of the integrated onto-oriented information environment for simulation and processing of cyclic signals, namely, for information-oriented reference system in the field of simulation and processing of cyclic signals; knowledge base of the integrated information environment, the core of which is the corresponding ontology; onto-oriented expert decision support system in the field of simulation and processing of cyclic signals; information system with onto-oriented architecture for simulation and processing of cyclic signals.

A robust expert decision support system for making real estate location decisions, a case of investor-developer-user organization in industry 4.0 era

Purpose This paper aims to introduce a practical expert decision support system (EDSS) for performing location analysis and making real estate location decisions in the organization’s facility and real estate management (FREM) department in presence of several decision criteria, under risk and uncertainty. This tool is particularly useful for making strategic decisions in facility planning, portfolio management, investment appraisal, development project evaluations and deciding on usage possibilities in an unbiased, objective manner. Design/methodology/approach The proposed EDSS uses fuzzy logic and uncertainty theory as two of the most useful tools to deal with uncertainties involved in the problem environment. The system performs an unbiased mathematical analysis on the input data provided by the decision-maker, using a combination of Analytical Hierarchy Process (AHP) and Global Criterion Method; determines a suitable compromise level between the objectives; and delivers a set of locations that complies best with the outlined desires of the management as the final solution. The application of the system is tested on a real case and has delivered satisfactory results. Findings The proposed EDSS took the defined objectives, the list of alternative locations, and their attributes as the required input for problem-solving, and used a combination of AHP, Possibilistic approach, and global criterion method to solve the problem. The delivered outcome was a set of proper locations with the right attributes to meet all objectives of the organization at a satisfactory level, confirmed by the problem owners. Originality/value The application of such a system with such a degree of preciseness and complexity has been very limited in the literature. The system designed in this study is an Industry 4.0 decision making tool. For designing this system several body of knowledge are used. The present study is particularly useful for making strategic decisions in the domains of portfolio management, investment appraisal, project development evaluations and deciding on property usage possibilities. The proposed EDSS takes the information provided by the experts in the field (through qualitative and quantitative data collecting) as the inputs and operates as an objective decision-making tool using several bodies of knowledge considering the trends and developments in the world of FREM. The strong scientific method used in the core of the proposed EDSS guarantees a highly accurate result.