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The main contribution of this paper is to develop a Perceptual Computer for Fuzzy Love Selection problem. This is a problem of ranking all members (alternatives) in an individual list in order of preference. Uncertainty of the individual about criteria scores and weights assigned to each alternative is handled by means of Perceptual Computer. This paper also presents a comparison of two Perceptual...
River generalization is an important part of Geographic Information System. Traditional research is focused on how to extract river systems of electronic maps correctly. They just delete rivers with low levels while not regarding redundant points of rivers of electronic maps or whether the speed of their methods could meet the users' demands. In this paper, we propose a method which filters out redundant...
This paper presents a rule-based expert system which is an extension of an ERP system of a fashion company. The fashion company needs a system for analyzing sales reports from mobile devices in many locations. An expert system is suggested, which can work with the company's ERP system. The expert system analyzes sales data and supports decision making strategy on the data. Rules in the proposed expert...
To address the current need of innovative technologies that blend rapid data processing capabilities of computers with intuitive decision making skills of humans, we have developed a prototype of Cloud Enabled Brain Computer Interface (CEB) decision making technologies. The implemented architecture integrates cloud enabled big data analytics capabilities, networked BCI (Brain Computer Interface) devices,...
Cloud Computing has become popular nowadays. Cloud providers with scalable infrastructures can offer cloud-based services which reduce investment of organizations and diminish most of their operational costs. Therefore, traditional services need to be renovated in the spirit of cloud environments. In this paper, Decision Support-as-a-Service (DSaaS) which is a cloud-based decision support system is...
Incomplete information in a soft set restricts the usage of the soft set. To make the incomplete soft set more useful, in this paper, we propose an algorithm with missing data filling for incomplete soft set, in which missing data is filled in terms of the association between the parameters. Based on this, we propose a decision-making method to meet the requirements of different customers. At last,...
Argument maps are one possible type of tool for engaging citizens in government policymaking, but they currently lack features to assist with making decisions on specific policies. This paper investigates the question of how argument maps can be enhanced for this purpose. A case study was conducted of public comments submitted in response to a proposed rule regarding health insurance cooperatives...
New concepts like agent-based modelling are providing social scientists with new tools, more suited to their background than other simulation techniques. The success of this new trend will be strongly related to the existence of simulation tools capable of fulfilling the needs of these disciplines. Given the computational requirement of realistic agent-based models, high-performance computing infrastructure...
In contrast to intelligence, wisdom is the part of the propositional knowledge part of the background of knowledge that is a mean between two extremes of believing without sufficient evidence and not believing with sufficient evidence. Wisdom may be incorporated in an artificial intelligence system as artificial wisdom (AW). An intelligence system with AW, will learn a collection of activities like...
The factors influence the adoption and acceptance of emerging information technology (IT) products have always been the major concerns for new product developments. Recently, the emergence of Smart Phones and the Tablet PCs motivated major IT vendors like ASUS Technology and Samsung Electronics to launch mobile devices by either integrating a physical smart phone as well as a physical Tablet PC or...
Compared with other large-scale warfare simulation systems, wargame, as a traditional type of warfare simulations, has the advantages of low cost, convenience, practicability, etc. In order to realize Human-Computer Confrontation, Computer Generated Forces (CGF) technology has been added to wargame, which would enhance wargame's training and decision support ability. Based on computerization of “Future:...
This paper proposes an interactive method to solve optimization problems with an unknown objective function. In daily life, we as human beings solve practical optimization problems without using numerical information and find a promising solution for them according to our preference. We aim to develop a mathematical method to solve the problems in which only qualitative information about the objective...
Computer games are played by a diverse range of players which has as diverse preferences and strategies to overcome the game. Most of these strategies are forecasted by the developers and is addressed accordingly in game AI, so the feeling of engagement with the game is not lost. However, with time, these game AI strategies become mundane and repetitive which generally results in exploitation by the...
This paper is a study on engaging Academic Career Management Interface design. We approach the Academic Systems from a User Experience (UX) perspective. We identified three interrelated users: the Student, the Faculty and the Employer. For the Student UX, the system is an academic career experience, with decision-making and resource management in the design problem space. We developed a solution space...
Behavior trees have become increasingly popular as an action selection mechanism for non-player characters in games. A different approach to the action selection problem is represented by emotional behavior networks. They are a dynamic, goal-driven decision-making model, which focuses on using emotions for decision making, incorporating various psychological theories concerning emotions. In this paper,...
In clinical field, it is important for medical personnel, patients and their families to decide speedy and precisely, for the decisions affect efficiency of treatment and satisfaction for the treatment. And more importantly, sometimes, the decisions affect patient's life. Thus, development of decision support system should be a primary topic in medical engineering field. In this study, effect of time...
There are three sections, an Information, a Tester, and a Decision Maker, that supporting decision making in BBVet (Balai Besar Veteriner) Yogyakarta,. During the time, data have been delivered and shared between those sections manually thus there is inefficiency in the decision-making process. A Decision Support System (DSS) is proposed to overcome the problem. Infolab 3-link as a decision support...
In this paper, we propose a novel similarity measure for soft sets which is based on Jaccard similarity coefficient. The proposed similarity measure takes into consideration two component i.e. similarity due to the compared parameter set, and similarity between approximate value sets of the overlapping parameters. The efficiency of the proposed measure is compared with existing soft set similarity...
This paper proposed an integrated fuzzy approach based on Consistent Fuzzy Preference Relations (CFPR) and Generalized TOPSIS. The procedure of CFPR are improved by adapting Centroid-Index as defuzzification operator, in order to represent the whole set of fuzzy numbers correctly. The CFPR requires only (n-1) pair-wise comparisons for n given criteria, where this situation prove that the increasing...
Ranking of fuzzy numbers is an important procedure for many applications in fuzzy theory, in particular, decision-making. In this paper, we propose a new method for ranking fuzzy numbers based on Dice set theoretic index. The Hurwicz criterion which considers all types of decision makers' perspective is employed in aggregating the fuzzy total evidences. The properties of the proposed method are also...
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