We present the MT-NCD and MT-mNCD machine translation evaluation metrics as submission to the machine translation evaluation shared task (MetricsMATR 2010). The metrics are based on normalized compression distance (NCD), a general information theoretic measure of string similarity, and evaluated against human judgments from the WMT08 shared task. The experiments show that 1) our metric improves...

This paper addresses an unrelated multi-machine scheduling problem with sequence-dependent setup time, release date and processing set restriction to minimize the sum of weighted earliness/tardiness penalties and the sum of completion times, which is known to be NP-hard. A Mixed Integer Programming (MIP) model is proposed to formulate the considered multi-criteria problem. Also, to solve the mo...

The main aim of this study is proposing an assessment model for evaluating the supply chain sustainability across the automotive sector. In this study, through reviewing the sustainability indicators in the economic, social, environmental, and governance pillars, the fuzzy Delphi is applied. Then, survey method is used to implement the model designed in CANFIS to evaluate the sustainability ind...

Today world's dependence on the Internet and the emerging of Web 2.0 applications is significantly increasing the requirement of web robots crawling the sites to support services and technologies. Regardless of the advantages of robots, they may occupy the bandwidth and reduce the performance of web servers. Despite a variety of researches, there is no accurate method for classifying huge data ...

This study aims to develop content-based image retrieval (CBIR) system for the retrieval of T1-weighted contrast-enhanced MR (CE-MR) images of brain tumors. When a tumor region is fed to the CBIR system as a query, the system attempts to retrieve tumors of the same pathological category. The bag-of-visual-words (BoVW) model with partition learning is incorporated into the system to extract info...

IntroductIon Decision support systems (DSSs) have been researched extensively over the years with the purpose of aiding the decision maker (DM) in an increasingly complex and rapidly changing enabled by the advent of the Internet combined with BLOCKINartificial-intelligence BLOCKIN(AI) BLOCKINtechniques, BLOCKINhave extended the reach of DSSs to assist with decisions in BLOCKINreal BLOCKINtime ...

Context: Implementation inheritance, i.e., overriding of concrete method implementations through subtyping, is prone to potential class contract violations. Call Super is a code pattern that employs implementation inheritance for extending a method’s behaviour. In Call Super the overriding method includes in its body an invocation to the overridden method. Template Method is a design pattern th...

This paper proposes a compromise model, based on the technique for order preference through similarity ideal solution (TOPSIS) methodology, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. This compromise programming method is ba...