ERP tool selection can be seen as one of the most relevant decision-making stages for an organization. This task is conceived as being one of the most difficult ones when an organization is trying to acquire an ERP tool. This work proposes structuring the decision-making selection of ERP tools. With this purpose, we have applied a Fuzzy Cognitive Map based approach capable of offering a definit...

An approach is presented to multi-expert’s opinions combination based on the Dempster-Shafer evidence theory. In the method, we use multi-expert’s knowledge as evidence, the possible value of weight as frame of discernment, expert’s evaluation to a weight on frame of discernment as basic probability assignment, and use D-S rule combining to give fusion basic probability assignment m. Finally, t...

Soft Clustering plays a very important rule on clustering real world data where a data item contributes to more than one cluster. Fuzzy logic based algorithms are always suitable for performing soft clustering tasks. Fuzzy C Means (FCM) algorithm is a very popular fuzzy logic based algorithm. In case of fuzzy logic based algorithm, the parameter like exponent for the partition matrix that we ha...

Data mining technology has emerged as a means for identifying patterns and trends from large quantities of data. Clustering is a primary data description method in data mining which group’s most similar data. The data clustering is an important problem in a wide variety of fields. Including data mining, pattern recognition, and bioinformatics. It aims to organize a collection of data items into...

Fuzzy C-means Clustering algorithm (FCM) is a method that is frequently used in pattern recognition. It has the advantage of giving good modeling results in many cases, although, it is not capable of specifying the number of clusters by itself. In FCM algorithm most researchers fix weighting exponent (m) to a conventional value of 2 which might not be the appropriate for all applications. Conse...

Primary school selection is actually a decision making problem that should be supported with several source of information. Parents usually handle this problem in an unstructured manner which is indeed a fuzzy mental ranking of schools with respect to the effectiveness. In this study, an analytical hybrid multiple criteria decision making (MCDM) model is proposed and explained with details for ...

TÓM TẮT Bài báo này được thực hiện nhằm mục đích nghiên cứu tìm hiểu thuật toán phân cụm FCM và các ý tưởng cải tiến đã có; tiến hành phân tích và phát hiện những đặc điểm phù hợp trong thuật toán FCM có thể áp dụng được đại số gia tử một lý thuyết sử dụng đại số trong việc biểu diễn giá trị của các biến ngôn ngữ. Từ đó, đề xuất một hướng cải tiến mới, đó là sử dụng lý thuyết đại số gia tử vào ...

Cluster validation is an important issue in fuzzy clustering research and many validity measures, most of which are motivated by intuitive justification considering geometrical features, have been developed. This paper proposes a new validation approach, which evaluates the validity degree of cluster partitions from the view point of the optimality of objective functions in FCM-type clustering....

Assistive robotics has brought convenience especially to disabled and handicapped including the blinds. Mobile housekeeping robots such as floor cleaners are capable of local obstacle avoidance. However there is always a risk of hitting moving obstacles or blind human when they walk through the environment. In this article, a new decision mechanism is introduced for modelling path planning stra...