Stakeholder analysis was first explored as a methodology to assist business leaders with their strategic management functions. Stakeholder analysis has since expanded beyond the corporate arena. Stakeholders are a vital element in all complex systems problems; they are the customers, users, clients, suppliers, employees, regulators, and team members of a system. They fund a system, design it, b...

Fostering conceptual and cognitive change in learners can be difficult. Students often come to a learning situation with robust, implicit understandings of the material under study. One explanation for the implicit nature of these understandings is a lack of metaknowledge about the knowledge to be acquired. Helping learners create metaknowledge may free paths to conceptual change. This paper pr...

Objective Long-term strategic planning is necessary if an organization intends to go beyond its customers’ expectations and remain competitive. A balanced scorecard is considered as a mere scorecard without a strategic plan. Therefore, it will only report the important measures not a clear understanding of leading the whole organization towards success. Strategic planning as the rationale behi...

Feedback mechanisms are important in the analysis of vulnerability and resilience of social-ecological systems, as well as in the analysis of livelihoods, but how to evaluate systems with direct feedbacks has been a great challenge. We applied fuzzy cognitive mapping, a tool that allows analysis of both direct and indirect feedbacks and can be used to explore the vulnerabilities of livelihoods ...

Existing IS Evaluation (ISE) techniques tend to focus on modeling individuals, teams, organization, or systems, in relation to process and environmental boundaries. Whilst such approaches are noteworthy and of merit, they do not necessarily provide insights into those causal interdependencies that are inherent within decision-making task. As has been noted by the extant literature in the field,...

This article represents one of the contemporary trends in the application of the latest methods of classification in business, where intense competition and the desire to expand drive this science to far-reaching prospects using the discusses months and the most recent classification and forecasting algorithms such as SVM, FFM, C4.5, which are used to build better business decision support mode...

This paper is on the suitability ofusing Fuzzy Cognitive Mapping technique (FCM) along with Fuzzy inference system(FIS),for the diagnosis of human disease.The diagnosis is based on the symptoms and the biochemical analysis of blood.Health care professionals use symptoms and signs as clues that can help to determine the most likely diagnosis when illness is present..Biochemistry involves in the ...

This ability in fuzzy UML, practically leaves the customers and market’s need without response in this important and vital area. Here, the available sequence diagrams in fuzzy UML will map into fuzzy Petri net. However, the formal models ability will be added to the Semi-formal fuzzy UML. This formalization will add the automatic processing ability to the Semi-formal fuzzy UML. Further more, t...

Municipal solid waste management is a major challenge, especially in metropolises. This research focuses on a non-technical issue in municipal solid waste management named municipal solid waste separation at the source and seeks to find the best policy in terms of model results. Source separation for recycling has been recognized as a way to achieve sustainable municipal solid waste (MSW) manag...

In this paper, we introduce a new definition of L-fuzzy multivalued mapping and investigate some of their properties. Mathematics Subject Classification: 54A40, 54C08, 54C60