Decision Sciences

<p>This handbook is an endeavour to cover many current relevant and essential topics related to <i>decision sciences </i>in a scientific manner. Using this handbook graduate students researchers as well as practitioners from engineering statistics sociology economics etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts authors hope to make the readers well aware of the different theoretical and practical ideas which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list information about a variety of datasets illustrated pseudo-codes and discussion of future trends in research. </p><p></p><p>Covering topics ranging from optimization networks and games multi-objective optimization inventory theory statistical methods artificial neural networks times series analysis simulation modeling decision support system data envelopment analysis queueing theory etc. this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics solved practical examples unique datasets for a variety of examples in the areas of decision sciences in-depth analysis of problems through colored charts 3D diagrams and discussions about software.</p>