Today, urban transportation has attracted urban planners’ and researchers' attention because of air and noise pollution problems associated with it. In Shahrkord city in Iran, no plans have been made for sustainable transportation, and the available poor transportation infrastructure is not responsive to the growing population of the city. This issue has inflicted the city with serious problems...

this paper processes a combined method, based on vikor and data envelopment analysis (dea) to select the units with most efficiency. we utilize the vikor as compromise solution method. this research is a two-stage model designed to fully rank the alternatives, where each alternative has multiple inputs and outputs. the problem involves belief parameters in the solution procedure. first, the alt...

The process of discovering groups of similar, connected vertices in a graph, known as graph clustering, has interesting applications in several scenarios, such as biology, marketing and recommendation systems. A major challenge concerning this problem is the evaluation of cluster quality, which is used to measure the e ectiveness of clustering algorithms. Many quality metrics for graph cluster ...

the kinetics of the potassium thiocyanate transport mediated by dicyclohexyl-18-crown-6 (l) through a bulk liquid membrane is studied experimentally and theoretically. the proposed model is based on the assumption of a pure diffusion of the complex salt [k·l]+scn¯ through the liquid membrane stagnant films at the interfaces. it illustrates the connection between liquid-liquid extraction equilib...

A content-based image retrieval (CBIR) system is proposed for the retrieval of T1-weighted contrast-enhanced MRI (CE-MRI) images of brain tumors. In this CBIR system, spatial information in the bag-of-visual-words model and domain knowledge on the brain tumor images are considered for the representation of brain tumor images. A similarity metric is learned through a distance metric learning alg...

Designing an effective criterion for selecting the best rule is a major problem in theprocess of implementing Fuzzy Learning Classifier (FLC) systems. Conventionally confidenceand support or combined measures of these are used as criteria for fuzzy rule evaluation. In thispaper new entities namely precision and recall from the field of Information Retrieval (IR)systems is adapted as alternative...

Evaluation metrics for image captioning face two challenges. Firstly, commonly used metrics such as CIDEr, METEOR, ROUGE and BLEU often do not correlate well with human judgments. Secondly, each metric has well known blind spots to pathological caption constructions, and rulebased metrics lack provisions to repair such blind spots once identified. For example, the newly proposed SPICE correlate...