Supply chain and industrial cluster are the results of competition economy. Clustering analysis enable more efficient supply chain management practices. In this paper, we focus our discussion on the rough set theory for clustering supplier chain management. We propose ROSMAN (ROugh Set approach for clustering Supplier chain MANagement), an alternative algorithm for clustering supplier base mana...

We introduce a modified model of random walk, and then develop two novel clustering algorithms based on it. In the algorithms, each data point in a dataset is considered as a particle which can move at random in space according to the preset rules in the modified model. Further, this data point may be also viewed as a local control subsystem, in which the controller adjusts its transition proba...

We describe a family of random walks in random environments which have exponentially decaying correlations, nearest neighbor transition probabilities which are bounded away from 0, and yet are subdiffusive in any dimension d < o e .

supply chain for survival in turbulent and volatile markets need instrument that by its help face with environment challenge. this instrument is agility. thus, in order of modeling agility of supply chain, founded 11 factors and interred in questionnaire and give it to experts of zobahan co. supply chain. analyzed result of 180 received questionnaire and accepted 11 factors that founded before....

T he rapid growth of the Internet over the past several years has focused on speed of deployment while, in many cases, ignoring the requirements of high-performance end-to-end transactions. Given that the Internet is primarily an infrastructure to flow information from where it is stored to where it is requested, we can view the communication path between end points as a chain and each networki...

The process mining field supports the discovery of process models using audit trails logged by information systems. Several mining techniques are able to deal with unstructured processes, mainly through cluster analysis. However, they assume the previous extraction of an event log containing related instances. This task is not trivial when the source system doesn’t provide a reliable separation...

In presence of multiple clustering solutions for the same dataset, a clustering ensemble approach aims to yield a single clustering of the dataset by achieving a consensus among the input clustering solutions. The goal of this consensus is to improve the quality of clustering. It has been seen that there are some image clustering tasks that cannot be easily solved by computer. But if these imag...

background: this cross sectional comparative study was performed to compare the mean fluorescence intensity of cluster of differentiation 45 between healthy individuals and patients with acute lymphoblastic leukemia. patients and methods: thirty three healthy individuals (mean age 11 years) and 41 patients with b cell acute lymphoblastic leukemia (mean age 7 years) were enrolled in the study in...

The genetic variation and population structure of narrow-clawed crayfish (Astacus leptodactylus) was examined by means of polymerase chain reaction (PCR) restriction fragment length polymorphism (RFLP) analysis of the cytochrome oxidase subunit I (COI) of mitochondrial DNA. A total of 194 adult specimens were collected from seven sample sites including, two in the south Caspian Sea and one each...