Efficiently, tracking information related to components, materials and equipment from the production/construction phase to operation and maintenance is a challenge in the industries. The industry environment is a natural fit for generating and utilizing instance-level data for decision support. Advanced electronic identification and data storage technologies e.g. radio frequency identification ...

addressing environmental management problems at catchment scales requires an integrated modelling approach, in which key bio-physical and socio-economic drivers, processes and impacts are all considered. development of decision support systems (dsss) for environmental management is rapidly progressing. this paper describes the integration of physical, ecological, and socio-economic components i...

The use of renewable energy sources is often suggested to be a good solution for climate change and the dependency to fossil fuel. Biogas utilization is a one of these promising options that can mitigate these problems since biogas is produced by the fermentation of waste, so is rich in methane and has the same characteristics as natural gas. Biogas has increasingly been noticed in different co...

Addressing environmental management problems at catchment scales requires an integrated modelling approach, in which key bio-physical and socio-economic drivers, processes and impacts are all considered. Development of Decision Support Systems (DSSs) for environmental management is rapidly progressing. This paper describes the integration of physical, ecological, and socio-economic components i...

This chapter aims to delineate measurement of level-of-satisfaction during decision making under intelligent fuzzy environment. Before proceeding with the multi-criteria decisionmaking model (MCDM), we attempt to build a co-relation among decision support systems (DSS), decision theories and fuzziness of information. The so-relation shows the necessity of incorporating decision makers’ (DM) lev...

university course timetabling problem is a serious challenge for the academic managers in each semester. because of a vast number of constraints and the complexity of relationship among the constraints, the problem is known to be of hard class. in this paper, a decision support system is proposed to assist the decision makers in solving the university course timetabling. the proposed system pro...

By using information technology, the healthcare industry is rising rapidly, through automating number of processes such as analyzing records, organizing the huge data, and developing workflow by extraction and maintain knowledge. In the last few years, Decision Support System (DSS) considered as the most outstanding system, which is crucial for any healthcare organization. The aim of this paper...

Automated intelligent, clinical decision support systems generally promote to help or to assist physicians and patients regarding to prevention of diseases or treatment of illnesses using computer represented knowledge and information. In this paper, assessment factors affecting the proper design of clinical decision support system were investigated. The required procedure steps for gathering t...

Traditional Decision Support Systems (DSS) give not enough possibilities of intervention to the user. These systems are reduced to an insular and very technical state in which the objective is not support decision but to dump data on the screen in the hope that the user will know what to do with. In complex situations, decision is not structured and it becomes primordial to design intelligent a...

Carbon emission trade is one of the most common carbon emission regulation policies, manufactures must take measures to cope with this new situation. This paper dedicated to design a decision support system (DSS) based on our proposed model. We examined the manufacture’s joint emission reduction effort and pricing decisions with carbon emission trade. We formulate this problem as a stackelberg ...