The objective of this paper is to present an approach for target tracking, which incorporates the advanced concept of generalized data (kinematics and attribute) association to improve track maintenance performance in complicated situations (closely spaced targets), when kinematics data are insufficient for correct decision making. It uses Global Nearest Neighbour-like approach and Munkres algo...

According to previous studies of online consumer behaviour, three factors are the most influential on purchasing behavior brand, colour and position of the product on the screen. However, a simultaneous influence of these three factors on the consumer decision making process has not been investigated previously. In this particular work we aim to execute a comprehensive study of the influence of...

With respect to multiple attribute group decision making MAGDM problems, in which the attribute weights take the form of real numbers, and the attribute values take the form of fuzzy linguistic scale variables, a decision analysis approach is proposed. In this paper, we develop a new fuzzy linguistic induce OWA FLIOWA operator and analyze the properties of it by utilizing some operational laws ...

A number of e-Processes (i.e. software processes for developing e-Commerce information systems) are available in industry. It is difficult to select the best suited e-Process for a case at hand. At the same time this selection is important because functionality and quality of any system under development will depend on the instantiated software process. The knowledge required for the selection ...

During recent years, determining appropriate strategy in the supply chain has become an important strategic issue. However, the nature of these decisions usually is complex and unstructured. To determine the best supply chain strategy, many quantitative and qualitative attributes such as cost, responsiveness and flexibility can be taken into account. In order to approximate the human subjective...

Decision making tools and architectures of nowadays consist an effective way of extracting useful information from complex data domains. A decision making scheme is presented here, combining fuzzy cluster analysis and TDIDT (Top Down Induction of Decision Trees) algorithms. Cluster analysis is primarily used by applying fuzzy C-means, in order to group uniform data sets stored in databases as a...

Similarity measure is an important tool to measure the degree of resemblance between two intuitionistic fuzzy sets. In this paper, in order to overcome the counter-intuitive in some cases, a new similarity measure of intuitionistic fuzzy sets is constructed and successively applied in pattern recognition and medical diagnosis. Based on the proposed similarity measure, a new decision making meth...

nowadays, risk management is considered as one of the most vital methods in project management which should be utilized in every industrial project. risk management process is able to identify risks, analyze them and determine responding strategies for declining impacts of risks. also most managers confront a challenge when they want to select one problem`s solution among the other ones. there ...

The evidential reasoning (ER) approach is a method for multiple attribute decision analysis (MADA) under uncertainties. It improves the insightfulness and rationality of a decision making process by using a belief decision matrix (BDM) for problem modelling and the Dempster–Shafer (D–S) theory of evidence for attribute aggregation. The D– S theory provides scope and flexibility to deal with int...

Several problems exist for data mining in real world databases: the difficulty of determining a decision attribute when limited domain knowledge exists, the difficulty in selecting a decision attribute from a new table formed from joining several relations, and the problem of elaborate data selection in the knowledge discovery process. This paper presents algorithms to solve these problems usin...