The existing methods of analysis applicable to time budget data are summarised. Latent budget models, a subclass of general reduced rank models for two-way contingency tables, are most appropriate as they view each of the observed conditional distributions of interest as a mixture of a small number of conditional distributions involving a hidden variable. However, they su5er from unusually comp...

Parcel delivery is a complex logistic service, as it serves many small or medium-sized customers who may send or receive parcels. Modeling such delivery system needs to integrate two different research areas of hub location and vehicle routing. As it totally depends on the network and the linkage of the nodes, in this paper, some door-to-door service providers are taken into account to provide ...

Background Resource allocation in cooperative organizations can achieve long run efficiency (Chinn 1979; Dwight Israelseni 1980; Norman Cameron 1973; Putterman 1980). Given certain Abstract Purpose: In cooperative teams (such as agricultural cooperatives), self-enforcing agreement plays a critical role in guaranteeing members’ work incentives when the monitoring from a third party is absent. In...

in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...

Competition of incompatible technologies can lead to outcomes where more than one technology takes a significant share of the market. Instant messengers are one such example, since a significant fraction of people uses more than one messenger, and no provider dominates the market. This outcome is contrary to the usual prediction of the technology adoption literature. To resolve this paradox, an...

This paper proposes a modified non-dominated sorting genetic algorithm (NSGA-II) for a bi-objective location-allocation model. The purpose is to define the best places and capacity of the distribution centers as well as to allocate consumers, in such a way that uncertain consumers demands are satisfied. The objectives of the mixed-integer non-linear programming (MINLP) model are to (1) minimize...

the paper deals with data envelopment analysis (dea) and artificial neural network (ann). we believe that solving for the dea efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. in this paper, a new neural network model is used to estimate the inefficiency of dmus in large datasets.

there have been several efforts in the literature to extract as much information as possible from the financial networks. most of the research has been concerned about the hierarchical structures, clustering, topology and also the behavior of the market network; but not a notable work on the network filtration exists. this paper proposes a stock market filtering model using the correlation - ba...