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Business games have been widely used as differentiated pedagogical tools to provide experiential learning for business students. However, a critical problem with these tools is the issue of how to give feedback to students during the runtime of the simulation, especially in view of the high number of players involved in the game and the large amount of data generated in the simulations. In this scenario,...
Health Science has been developing and incorporating new techniques capable of acquiring data of patients. These data is evaluated to understand a physical condition, and its interpretation depends on the physician knowledge and experience. This process can involve uncertainty, because of the used information such as patient information or a particular disease. Diagnosis is a complicated process,...
The paper presents the structure of decision support system for electrical grid equipment operation on the base of its state assessment based on aggregated available data concerning object of research by means of neuro fuzzy inference. Technical state assessment of both separate elements, notably electrical equipment (based on fuzzy logics methods) and integrated consolidated objects (by means of...
The improvement of energy efficiency generates positive impacts on the society and environment, and to be able to have a diagnosis of energy efficiency it is necessary to use energy efficiency indicators (EEl). The use of energy management software that uses EEl can help the energy utility to improve the expansion planning of its electricity generation, transmission and distribution system. Furthermore...
Creating an applicable and precise failure prediction system is highly desirable for decision makers and regulators in the finance industry. This study develops a new Failure Prediction (FP) approach which effectively integrates a fuzzy logic-based adaptive inference system with the learning ability of a neural network to generate knowledge in the form of a fuzzy rule base. This FP approach uses a...
Skyline cube is the crucial mechanism in multidimensional skyline queries and preference analysis, and has attracted much attention recently in knowledge management community. This is mainly due to the importance of skyline cube in many applications, such as data mining and visualization, user-preference queries, and multi-criteria decision making. In this paper, we propose a novel multidimensional...
The following topics are dealt with: classification, clustering and segmentation; database and ontology; type-2 fuzzy logic systems and control; image processing; decision making; forecasting and prediction; intelligent data mining; GIS and traffic; neural networks; intelligent agents and fuzzy multi-agent systems; possibility theory; and credibility theory.
Since Research and Development (R&D) projects portfolio decision deals with future events and opportunities, much of the information required making portfolio decisions is at best uncertain and at worst very unreliable. R&D projects are sometimes hard to be evaluated and selected. In this paper, a R&D projects portfolio selection decision system has been proposed based on data mining and...
Predicting plays a main role in making a good decision in a dynamic environment with real time data, such as weather predictions that normally are heterogeneous, various and vast. The use of heterogeneous of data available causes increasing uncertainty. Vast amount of data from a dynamic environment will be very uncertain and the prediction of future behavior of such a situation is very hard and if...
In this paper, we use a decision analysis method that respects to linguistic multiple attribute decision-making problems with partial information of attribute weights to solve the main problem in the bidding stage of E-government project surveillance and evaluation. We have established an evaluation model through ideal point and triangular fuzzy number. Linguistic assessment information is transformed...
Clandestine transport of hazardous materials has been recognized as a major challenge for global aviation, water and land transport and homeland security. Nuclear resonance fluorescence (NRF) provides a high-potential physics basis for efficient detection of such materials at the entry points of a country. NRF's potency, however, is diminished due to varying environmental conditions and noisy background...
In an e-commerce environment, the magnitude of products and the diversity of venders cause confusion and difficulty to choose the right product from a trustworthy vender. Although people have recognized the importance of feedbacks and reputations for the trustworthiness of individual venders and products, they remain uncertain when they have to define and enforce their own rules to use these different...
Method for ranking interval-valued intuitionistic fuzzy numbers is of key duty to multicriteria decision-making. Existing ranking methods using score function and accuracy function can not give sufficient information about alternatives and will demonstrate the situation of difficult decision or wrong decision in some cases. In this paper, a deviation function, considering the variance of the hesitancy...
FCMs are appropriate to explicitly encode the knowledge and experience accumulated on the operation of a complex system. Once constructed for a particular domain, an FCM allows a qualitative simulation of the system. In this paper, we investigate a first approach to introduce intuitionistic fuzzy logic into the construction process of FCMs for improved medical decision making. The theory of intuitionistic...
This paper presents a fuzzy logic based mobile intelligent system for effectively evaluating and selecting hotels. The uncertainty, subjectiveness and imprecision inherent in the human decision making process are modeled through the use of fuzzy numbers. A fuzzy relationship matrix between the characteristics of each hotel and the requirements of individual tourists is built leading to the use of...
A systematic study of recent developments in preferences based on fuzzy logic is carried out in order to identify an effective design for fuzzy preference models in conflict resolution. Fuzzy preference, defined via a fuzzy relation over the alternatives or states, attempts to represent a decision maker's preferences more realistically. It generalizes the usual preference structures in the sense that...
The grid enables the facility of distributed resource sharing but can provide limited QoS guarantee to grid applications, e.g. in terms of execution time. In this paper, we propose a Committee-based Resource Evaluation and Selection Method (CRESM) to evaluate and select reliable resources for Users, which have higher possibility of finishing tasks in time and provide better QoS. CRESM is composed...
An approach to computer-assistant decision making problem is presented in the paper. The recommendations of actions that can be undertaken by an user in order to reach a desired goal are presented in the form of deontological statements. The necessary domain knowledge is provided to the system in the form of a domain ontology. The recommended actions are relatively evaluated by a system of semi-ordering...
As a knowledge representation framework and a kind of probability inference engine, Bayesian networks are widely used in reasoning and decision-making. The situation assessment knowledge representation using the FUZZY-Bayesian networks, fuzzy logic and fuzzy inference for situation assessment were presented, and implementation of a real-time, fully functional situation assessment system were analyzed...
This paper presents a fuzzy multicriteria analysis approach for effectively solving the information systems project selection problem. To adequately handle the multi-dimensional nature of the selection process, the multicriteria analysis methodology is applied. To effectively model the inherent subjectiveness and imprecision, linguistic variables approximated by fuzzy numbers are used. To greatly...
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