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Efficient spectrum sensing is a crucial function in cognitive radio (CR) networks and that enables secondary users (SUs) to detect primary user (PU) activities and make a decision to utilize vacant channels in the spectrum. Cooperative spectrum sensing, which is a prominent sensing approach in the literature due to its ability to increase sensing accuracy, is based on sharing information about channel...
The extracted product aspects (like “battery life”, “zoom”) from online customer reviews are dissimilar in their significances, some of these aspects have a great influence on the potential customer's decision likewise on the businesses' strategies for product enhancements. Supporting the probable customers with a list of the most representative product aspects will assist their purchasing decision...
High-speed wireless services have achieved remarkable rates of growth in recent years. In order to survive in this competitive market, high levels of service performance are an effective way to improve customer satisfaction and loyalty. This paper aims to identify the best service provider in a heterogeneous wireless network so that we differentiate the quality of service (QoS) and provide a framework...
This paper is devoted to the development of mathematical model and information technology for computer analysis of medical diseases based on investigations of cardiograms. Authors propose to use cardiogram recognition algorithm which is synthesized on the mathematical base of nonlinear canonical decomposition of random sequence. The automation process of cardiograms recognition, analysis, classification...
In this paper a method to develop artificial intuition is suggested. In an attempt to emulate the trial and error, searching is combined with a random choice. It is used in initial steps of the search, which provides reaching the goal in fewer steps, when compared to the case without the random choice. An example game is derived to illustrate the proposed searching technique.
Software-as-a-Service (SaaS) providers offer on-demand, highly scalable applications to the end users. To maximize their profit, the providers must make profit-aware scheduling decisions about assigning client requests to virtual resources, while respecting the agreed upon Service-Level Agreement (SLA). Given the highly dynamic nature of the cloud environment, unexpected events may affect the initial...
The design and operation of an asynchronous two-input mutual exclusion element are described in this paper. A decision-making module suitable for implementing n-way decision-making circuits is also implemented using CMOS DVCS logic.
Expert evaluation is one of the important means of investment decision-making. We propose a group-decision method based on gray matter element, and apply it to network evaluation of university innovation project. This method extends traditional single evaluation method to abundant index system, and refines the scoring rubric. On the basis of support score, other six criterion opposed score, uncertainty...
Flowcharts have been used in problem diagnosis for a long time because of their effectiveness during process representation. However, with time, diagnostic flowcharts can become unmanageably complex and incomprehensible, thus leading to longer decision paths. A lengthy decision path also implies a time consuming diagnosis process while at the same time being boring to end users utilizing systems containing...
This paper proposes solutions to the problem of voltage sags caused by distributed generators anti-islanding protection. This is a recently identified power-quality (PQ) concern resulting from the increasing penetration of distributed generators into distribution networks. This problem has been previously investigated by the authors and it was revealed that it can seriously affect PQ indices as well...
The Fuzzy Delphi Method (FDM) is the modified and enhanced version of the classical Delphi technique. Improvement was made to rectify the imperfection of traditional Delphi Method (DM) that leads to low convergence in retrieving outcomes, loss of important information, and long progress of investigation. Nevertheless, this approach has been employed in various application domains, including humanities,...
Non functional requirements are very interesting specially in case of business relationships. In fact they are idioms of communication between business environment parties: provider and consumer. In particular in web services context, these requirements and non functional characteristics are also seen as a ranking and selection criteria. Thus, many researchers propose tools to measure the quality...
This work aims to design a proposed decision support system (DSS) for helping investors in making investment decision by using rule text-mining based algorithm to analyze news headline and implement analyzing pro-gram based on a manual analyzed headlines. The news analysis program (NAP) was used as an important stage in making investment decision on sample of the Gulf Cooperation Council (GCC) stock...
This paper describes a new heuristic approach letting an agent in a multi-agent system make a decision for selecting tasks to undertake. The proposed approach consists in giving the agent a profile including preferences and physical parameters, and a description of its beliefs about the environment. The decision engine allowing the agent to do a specific task is local to the agent and takes into account...
Dots-and-Boxes is a popular pencil-and-paper game, where players drawing lines on a grid of dots alternately. In this paper, we propose a new technique to combine heuristic solver and Monte Carlo Tree Search, a simulation-based best-first search technique that has revolutionized the performance of computer Go. During the MCTS simulations, the search does not need to touch the terminal state but a...
In the last years, several papers in literature have treated the multi-criteria decision making (MCDM) problems in neutrosophic environment. This approach had a starting point the fact that in many real life problems, decision makers have indeterminate, inconsistent or incomplete information about the alternatives with respect to criteria. A brief survey on the applications of neutrosophic sets in...
Opinion dynamics is a collective decision making and focuses on the study of evolution and formation of opinions in a social group. Bounded confidence rule is one of intrinsical interaction principles in the human behavior dynamics. When there is no opinion leader in a social group, for a bounded confidence based opinion dynamics, the evolution of the collective opinion of the group generally depends...
The preference information formats in management practice include utility values, preference ordering, multiplicative and fuzzy preference relations, etc. This study aims to obtain collective priority vector from various preference information formats provided by each decision maker. We propose a novel optimization model based on a cosine similarity measure to derive a collective priority vector using...
Decision making alternatives are sometimes incomparable with each other and violate the completeness axiom of the rational behavior axiom of von Neumann-Morgenstern. Lattice order theory has therefore been used to deal with the incomparability issue among alternatives. This paper proves that the incomparable relation of the set of alternatives in same level under lattice order structure is equal to...
Humans often make decisions which maximize an internal utility function. For example, humans often maximize their expected reward when gambling and this is considered as a “rational” decision. However, humans tend to change their betting strategies depending on how they “feel”. If someone has experienced a losing streak, they may “feel” that they are more likely to win on the next hand even though...
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