With increasing concern about Internet intelligence, this paper proposes concepts of the Internet and Internet subsystem IQs over search engines. Based on human IQ calculations, the paper first establishes a 2014 Internet Intelligence Scale and designs an intelligence test bank regarding search...

The advancement of network technology and the popularization of the Internet lead to increased interest in information recommendation. This paper proposes a group recommendation system that takes the preferences of group users in mobile environment and applies the system to recommendation of...

A hybrid Particle Swarm Optimization (PSO) that features an automatic termination and better search efficiency than classical PSO is presented. The proposed method is combined with the so-called "Gene Matrix" to provide the search with a self-check in order to determine a proper termination...

ARACE is a new method developed within the framework of Verbal Decision Analysis (VDA). VDA methods work with verbal form of preference elicitation and evaluation of alternatives without resorting to numbers. ARACE is based on the ideas of the VDA method ZAPROS but uses a more flexible approach...

This paper aims to develop a multi-criteria decision analysis (MCDA) tool for rainwater harvesting (RWH) on a university campus in Bogota, Colombia. The specific type of MCDA our research proposes is known as CRIDE (multi-CRIteria DEcision support tool), which allows us to study various methods...

The main goal of our research is to analyze users' acceptance of mobile payment systems, considering the population's widespread use of mobile devices. In order to explain acceptance, we have added trust and perceived risk to the traditional variables. To this end, we have carried out a study...

The processes of generating innovative solutions mostly rely on skilled experts who are usually unavailable and their outcomes have uncertainty. Computer science and information technology are changing the innovation environment and accumulating Big Data from which a lot of knowledge is to be...

In recent past, it has been seen in many applications that synergism of computational intelligence techniques outperforms over an individual technique. This paper proposes a new hybrid computation model which is a novel synergism of modified evolutionary fuzzy clustering with associated neural...

Our paper develops a decision-making model of social shopping in franchising to understand impacts of various collaboration strategies on profits of a social intermediary, a franchisor, and a franchisee. Three decision variables are considered to make a daily deal promotion in a manner that...

Large distributed systems, such as grid computing and cloud computing, promise to supply users with high performance. Consequently, scheduling is currently becoming a crucial problem. Herd behavior is a common phenomenon which causes severe performance decrease in the systems caused by bad...