currently, outsourcing is recognized as one of the useful strategies in the world of business. in this respect, business processes outsourcing is one of the most common forms of outsourcing. the purpose of the present study is to provide a multi attribute decision making model in order to outsource the process of azin-tane company. to this end, 19 effective attributes were driven after doing in...

This paper aimed at manifesting the role of significant attributes of conversation analysis in social interviews from a functional perspective. In this paper the concern would be on how these attributes of conversation analysis acted as important elements in analyzing the interviews. In particular, the author discussed some samples of B.B.C learning English interviews which considered some conv...

This paper presents a computational multi-agent model of support receipt and provision to cope during stressful event within social support networks. The underlying agent model covers support seeking behavior and support provision behaviour. The multi-agent model can be used to understand human interaction and social support within networks, when facing stress. Simulation experiments under diff...

We study the minimal generators (mingens) in multi-relational data mining. The mingens in formal concept analysis are the minimal subsets of attributes that induce the formal concepts. An intent for a formal concept is called a closed pattern. In contrast to the wide attention to closed patterns, the mingens have been paid little attention in Multi-Relational Data Mining (MRDM) field. We introd...

Data Mining and Knowledge Discovery in Databases are two new dimensions of database technology that investigate the automatic extraction for identifying hidden patterns and trends from large amount of data. Several researchers have contributed variety of algorithms for generating the classification rule by considering different cases like scalability, computation time, I/O complexity, missing a...

The role of landscape valuation and extended cost-benefit analysis in landscape conservation decision-making is first addressed. It is stressed that substantial research on how to value alternative conservation schemes is required, in order to cope with emerging policy needs. An analytical frame for the valuation of alternative landscape conservation schemes is then discussed. This frame enable...

It is of considerable benefit to combine information obtained from different satellite sensors achieve advanced and improved characterization sea ice conditions. However, it also true that not all the relevant. may be redundant, corrupted, or unnecessary for given task, hence decreasing performance algorithms. Therefore, crucial select an optimal set image attributes which provides relevant con...

‎Selecting the most suitable robot among their wide range of specifications and capabilities is an important issue to perform the hazardous and repetitive jobs‎. ‎Companies should take into consideration powerful group decision-making (GDM) methods to evaluate the candidates or potential robots versus the selected attributes (criteria)‎. ‎In this study‎, ‎a new GDM method is proposed by utilizi...

Computer-based simulation techniques such as multi-body dynamics analysis are becoming increasingly popular in the field of skull mechanics. Multi-body models can be used for studying the relationships between skull architecture, muscle morphology and feeding performance. However, to be confident in the modelling results, models need to be validated against experimental data, and the effects of...