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In this paper, we assume that we have two types of datasets for classifier design. One is an in-house dataset which is fully available for classifier design as training data. The other is an external dataset which is kept under a very severe privacy preserving policy. We assume that the available information on the external dataset is only the error rate of a presented classifier. No other information...
This paper proposes to measure of the consensus degree of a purpose in a group decision making on a business. A group demonstrates big capability if a purpose of the group is agreed from the members. If we have the measure of the consensus degree of a purpose in a group decision making, then it contributes to activation and increase in efficiency of organizations greatly. The bosses and leaders can...
As modern computing relies more and more on distributed solutions of services and resources over the cloud, the need of potential users to assess whether the transition from traditional software systems to the cloud would be to their benefit becomes even greater. Cloud vendors also seek ways to study beforehand the behavior of potential users with respect to their decision to adopt the cloud environment...
The continued growth in enterprise social networks is fueled by the need to enable productivity and innovation. Reducing the constraints to communication and knowledge sharing of a globally distributed workforce, will facilitate the workflow. People finder systems are one of the main solutions in enterprise social networks which are reducing these constraints leading to time and cost savings. Finding...
Fuzzy Cognitive Maps (FCM) are widely used to model and analyze the behavior of complex multicomponent systems. The application of FCM might be non-trivial in some specific context, however. Two rather general problems of the application of FCM and respective solutions are described in this paper. The first problem is as follows: In some cases the concept values obtained at the end of an FCM simulation...
System flexibility means the ability of a system to manage imprecise and/or uncertain information. A lot of commercially available Information Retrieval Systems (IRS) address this issue at the level of query formulation. Another way to make the flexibility of an IRS possible is by means of the flexible organization of documents. Such organization can be carried out using clustering algorithms by which...
Human resource management (HRM) is a function in organizations designed to maximize employee performance in service of their employer's strategic objectives. Linguistic evaluations rather than numerical evaluations are preferred when making comparative assessments. These assessments can be expressed by interval-valued intuitionistic fuzzy sets easier than ordinary fuzzy sets. In this paper, we used...
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