Very often data relevant to one search is not located at a single site, it may be widely-distributed and in many different forms. Similarly there may be a number of algorithms that may be applied to a single Knowledge Discovery in Databases (KDD) task with no obvious “best” algorithm. There is a clear advantage to be gained from a software organisation that can locate, evaluate, consolidate and...

An information fusion system with local sensors sometimes requires the capability to represent the temporal changes of uncertain sensory information in dynamic and uncertain situation to access to a hypothesis node which cannot be observed directly. One of the central issue and challenging problem is the decision of what combination and order of sensors allocation should be selected between sen...

Based on the hypothesis that the brain is a society of semiautonomous neural agents and full autonomy is the result of coordination of semiautonomous functionalities, a multiagent data warehousing (MADWH) and multiagent data mining (MADM) approach is presented for brain modeling and illustrated with robot motion control. An algorithm named Neighbor-Miner is proposed for MADWH and MADM. The algo...

There is a vast amount of data available that is owned and maintained by different organizations, distributed all around the world. These data resources are rich and recent; however, information gathering and knowledge discovery from them, in a particular knowledge domain, confronts major difficulties. The objective of this research is to introduce a Multi-Agent Data Mining framework (MADM) to ...

Attribute weighting is a task of paramount relevance in multi-attribute decision-making (MADM). Over the years, different approaches have been developed to face this problem. Despite effort community, there lack consensus on which method most suitable one for given problem instance. This paper second part two-part survey attribute methods MADM scenarios. The first introduced categorization five...

Vendor management systems (VMSs) are web-based software packages that can be used to manage businesses. The performance of the VMSs assessed using multi-attribute decision-making (MADM) techniques under uncertain situations. This article aims analyze and assess MADM techniques, especially when uncertainty is complex nature. To achieve goals, we aim explore Hany mean (HM) operators in environmen...

Bali is a well-known tourist destination, but Karangasem not widely known to the public. Tourist objects are selected as Multi-Attribute Decision Making (MADM). This study analyzes MADM problem, namely selection of using Analytical Hierarchy Process (AHP) and The Technique for Order Preferences by Similarity an Ideal Solution (TOPSIS) method. Method testing done conducting sensitivity analysis ...