This paper applies Bayesian network tecbnique tomodel and inference tbe uncertain relationsbips among costfactors and benefit factors in E-services. A cost-benefitfactor-relation modelproposed in our previous study is consideredas domain knowledgeand tbe data collectedtbrougb a survey is...

Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and...

This chapter addresses the methodological challenges of developing relevant scientific knowledge for a sustainable energy system transition in an innovative way. We argue that scientific contributions to sustainable development do not follow the `linear? procedure from empirical knowledge...

With the increasing importance of cognitive aspects in decision making, this research addresses how human cognitive abilities, mainly situation awareness and mental models, can be used to drive the decision process in complex decision situations. Cognitive orientation has long been regarded as...

Bilevel decision techniques have been mainly developed for solving decentralized management problems with decision makers in a hierarchical organization. When multiple followers are involved in a bilevel decision problem, called a bilevel multi-follower (BLMF) decision problem, the leader???s...

Strategic bidding problems are becoming key issues in competitive electricity markets. This paper applies bilevel optimization theory to deal with this issue. We first analyze generating company strategic bidding behaviors and build a bilevel optimization model for a day-ahead electricity...

High pathogenic avian influenza remains rampant and the epidemic size has been growing in the world. The early warning system (EWS) for avian influenza becomes increasingly essential to militating against the risk of outbreak crisis. An EWS can generate timely early warnings to support decision...

Purpose - The purpose of this paper is to develop a hybrid semantic recommendation system to provide personalized government to business (G2B) e-services, in particular, business partner recommendation e-services for Australian small to medium enterprises (SMEs). Design/methodology/approach -...