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International Journal of Decision Support Systems (3 papers in press)
Crowd Model Building as a Collective Decision Support System by Ali Haji Gholam Saryazdi, Ali Rajabzadeh Ghatari, Ali Naghi Mashayekhi, Alireza Hasanzadeh Abstract: The system dynamics approach for modeling complex socioeconomic systems was originally developed in the 1950s. Using this approach, different researchers have designed a diversity of model building methods with specific characteristics depending on various data sources, conditions, objectives and applications. On the one hand, the expansion of system dynamics applications and related issues has caused the development of various model building methods necessary. On the other hand, information technology advances specifically web 2.0 and other social networks have led to the development of various model building methods with more capabilities. Thus, the main purpose of this paper is to introduce crowd model building method based on web 2.0 and social networks. To achieve this objective, first, various system dynamics modeling methods including Document model building (DMB), Individual model building (IMB), Group model building (GMB), Community model building (CoMB) and Crowd model building (CMB) were compared and contrasted through a systematic literature review. At this step, all the papers accepted at two preliminary rounds of research conference on system dynamics in 1976 and 1981 and 33 rounds of conference on system dynamics since 1983 until 2015 along with papers available on Elsevier and Wiley scientific database were reviewed. Finally, Crowd Model Building was fully explained. Keywords: Online/Web Surveys; Collective Decision Support System(CDSS); System Dynamics II (SD 2.0); Crowd Model Building (CMB).
An extended solution to recommend fuzzy MDX queries for decision makers by collaborative filtering profile by Djamila Hammouche, Karim Atif Abstract: Education decision makers need to analyse the success rate of the baccalaureate according to different criteria. In this paper, we propose to extend our previous solution where we have defined only three terms in natural language. Our extended solution consists of the modelling of a data warehouse according to the Fasel model. It allows the recommendation of MDX queries which contain these terms in natural language according to the decision makers profile. We present an overview of the work related to our subject and we present the fuzzy data model together with the meta tables and the modelling of the membership functions. Finally, we present our results. Furthermore, we have carried out a comparative study between the use of SQL
and MDX requests and we have concluded that the use of MDX made the system more efficient. Keywords: decision support systems; data warehouse; MDX; profile; fuzzy logic; recommendation. DOI: 10.1504/IJDSS.2020.10032750
Decision support for biogas production from the utilisation of agricultural and livestock wastes
by Grigorios Rekleitis, Katherine-Joanne Haralambous Abstract: The rapid growth of the global and national agriculture and livestock sector, has led to the development of large quantities of agricultural and animal wastes, resulting in massive problems associated with treatment and disposal into the atmosphere. Biogas installation technology from waste biomass is an effective solution with several significant advantages, providing environmentally sustainable energy while promoting the use of biogas energy and leading to a systematic and integrated treatment of agricultural and livestock wastes, reducing the pollution discharge to the environment by more than 55%. In this work, an analysis of production of biogas through the process of anaerobic digestion is shown, which is commonly used for the processing of agricultural and livestock residues and energy crops for use (energy production and compost). Some critical parameters of this process are summarised, as a tool for comparative evaluation of this route with some other alternatives, which contribute to the decision making in the selection of power systems. Keywords: biogas; agriculture; livestock; wastes; Greece; energy; renewable energy sources; RES; biomass; anaerobic; digestion. DOI: 10.1504/IJDSS.2020.10031926