Disaggregation methods have become popular in multicriteria decision aiding (MCDA) for
eliciting preferential information and constructing decision models from decision examples …

In recent decades, several mathematical methods have been developed for selecting the
most preferable alternatives. Among them, the MCDM (Multiple Criteria Decision Making) …

This chapter provides an annotated bibliography of multiple objective combinatorial
optimization, MOCO. We present a general formulation of MOCO problems, describe their …

In this paper we present a review of approximative solution methods, that is, heuristics and
metaheuristics designed for the solution of multiobjective combinatorial optimization …

An overview of interactive methods for solving nonlinear multiobjective optimization
problems is given. In interactive methods, the decision maker progressively provides …

The centrality of the decision maker (DM) is widely recognized in the multiple criteria
decision-making community. This translates into emphasis on seamless human-computer …

Artificial neural networks or neural networks (NN) are new computational models based on
the working of biological neurons of human body. A NN model consists of an interactive …

In this paper, a fuzzy multi-criteria decision making model is presented based on a feed
forward artificial neural network. This model is used to capture and represent the decision …

In recent years, death toll of natural and man-made disasters has increased at an appalling
rate. Thus, disaster management and especially efficient management of humanitarian relief …

Multimodal movements are those in which two or more different transportation modes are
linked end-to-end in order to move freight and/or people from point of origin to point of …