An approach to determining the optimal cell number of manufacturing cell formation is presented. Firstly, the difference of weighting exponent, cluster center and metrics how to have an impact upon the clustering results and membership function are studied. Secondly, a method to determine the optimal m value is given. Two-order partial derivative of the objective function for FCM is calculated,...

A measure of location relative efficiency for location of a single sample. The question o f how much to trim or which weighting constant to use are practical considerations in applying robust methods such as trimmed means (L-estimators) and Huber statistics (M-estimators). An index o f location relative effi­ ciency (LRE), which is a ratio of the narrowness o f resulting confidence intervals, w...

This paper proposes an improved random forest algorithm for classifying text data. This algorithm is particularly designed for analyzing very high dimensional data with multiple classes whose well-known representative data is text corpus. A novel feature weighting method and tree selection method are developed and synergistically served for making random forest framework well suited to categori...

Composite indicators (CIs), i.e., combinations of many in a unique synthetizing measure, are useful for disentangling multisector phenomena. Prominent questions concern indicators’ weighting, which implies time-consuming activities and should be properly justified. Landscape fragmentation (LF), the subdivision habitats smaller more isolated patches, has been studied through composite index land...

BACKGROUND Hospital readmissions are common after major surgery, although it is unknown whether patients achieve improved outcomes when they are readmitted to, and receive care at, the index hospital where their surgical procedure was done. We examined the association between readmission destination and mortality risk in the USA in Medicare beneficiaries after a range of common operations. ME...

A new, possibilistic logic based information retrieval model is presented. Its main feature is an explicit representation of both the vagueness and the uncertainty typical for the textual information representation and processing. The weights of index terms in documents and queries are directly interpreted as quantifying this vagueness and uncertainty. The classical approaches to the term-weigh...

As the performance gap between memory and processors has increased, then it leads to the poor performance. Efficient virtual memory can overcome this problem. And the efficiency of virtual memory depends on the replacement policy used for cache. In this paper, our algorithm not only based on the time to last access and frequency index but, we also consider the power consumption. We show that Lo...

In this paper we describe an approach to tweet contextualization developed in the context of INEX QA track. The task is to provide a context up to 500 words to a tweet. The summary should be an extract from the Wikipedia. Our approach is based on the index which includes not only lemmas, but also named entities. Sentence retrieval is based on standard TF-IDF measure enriched by named entity rec...

As the performance gap between memory and processors has increased, then it leads to the poor performance. Efficient virtual memory can overcome this problem. And the efficiency of virtual memory depends on the replacement policy used for cache. In this paper, our algorithm not only based on the time to last access and frequency index but, we also consider the power consumption. We show that Lo...

ÐWe derive a class of computationally inexpensive linear dimension reduction criteria by introducing a weighted variant of the well-known K-class Fisher criterion associated with linear discriminant analysis (LDA). It can be seen that LDA weights contributions of individual class pairs according to the Euclidian distance of the respective class means. We generalize upon LDA by introducing a dif...