Modeling languages for business processes and business rules A representational analysis分析和总结分析和总结.docx

Benchmarking enhancements to a decision support system for global crop production assessments Original Research Article Expert Systems with Applications Research highlights Enhancements to a complex global crop production decision support system were assessed. ? New satellite data products were tested by users to examine DSS enhancements. ? User feedback over time was analyzed with a benchmarking tool to quantify DSS change. ? Attainment of system requirements and risk mitigations were used as benchmarks. ? This new benchmarking model showed enhancements in the DSS and staff communication. Developing a precast production management system using RFID technology Original Research Article Automation in Construction Effective and efficient strategic decision making is the backbone for the success of a business organization. These decision making processes, used among its competitors in a particular industry, determine whether the business will continue to survive or not. In this research, fuzzy logic (FL) concept and game theory are being used to model strategic decision making processes by business organizations. Competition between business organizations is viewed as a game with each business organization as a player. A player formulates his own decisions by making his strategic moves based on uncertain information. This is the information he has about the opponents with respect to prevailing or anticipated market demand, cost of production, marketing, consolidation efforts and some other business variables. This uncertain information is being modelled using the concept of fuzzy logic. The game is played between a fuzzy agent and human agents in a resource allocation game between two players with uncertain information. Moreover, fuzzy rules are constructed that symbolize various rules and strategic variables that a firm takes into consideration before taking a decision. Our model also includes a learning procedure that enables the agent to optimize the fuzzy rules an