The research objective of the paper is to propose a model, based on Multiple-Criteria Decision-Making (MCDM) methods, that facilitates selection process an adequate strategy directed development e-commerce. For aim, Method Removal Effects Criteria (MEREC) applied for defining criteria weights. recently proposed Comprehensive Distance Based Ranking (COBRA) method used final assessment and rankin...

Automating the neighbourhood selection process in an iterative approach that uses multiple heuristics is not a trivial task. Hyper-heuristics are search methodologies that not only aim to provide a general framework for solving problem instances at different difficulty levels in a given domain, but a key goal is also to extend the level of generality so that different problems from different do...

Genetic analysis for group selection is developed for the case of a biallelic locus (A, a) undergoing group selection of founder populations only. By contrast to R. Levins"E = E(x) models, extinction now depends on genetics at the propagule stage but acts uniformly on larger populations. Biological evidence supports this hypothesis, which also allows mathematical treatment at once simpler and b...

Based on experiences from livestock breeding we introduce erroneous truncation selection for the Breeder Genetic Algorithm BGA The decision behavior of the breeder is given by a simple model It is shown that there is no bene t to the BGA by using erroneous selection though the variance of the parent population is increased by increasing the decision error variance Introduction Selection is one ...

With the high costs of attracting new customers on the Internet, the profitability of an e-retailer is realized only during later purchases. Fostering loyalty among patrons is thus necessary for the success of e-retailers. This is more so because repeat purchases are not the only behavioral trait of the loyal customer—he also recommends his favorite e-retailers to potential buyers. This calls f...

The present study aims to model systematic risk using financial and accounting variables. Accordingly, the data for 174 companies in Tehran Stock Exchange are extracted for the period of 2006 to 2016. First, the systematic risk index is estimated using the ARFIMA-FIGARCH model. Then, based on the research background, 35 affective financial and accounting variables are simultaneously used with t...

The empirical evidence of adverse selection in insurance markets is mixed. The problem in assessing the extent of adverse selection is that private information, on which agents act, is generally unobservable to the researcher, which makes it di¢ cult to distinguish adverse selection from moral hazard. Unique micro data, from a dental insurance natural experiment, is here used to provide a direc...