Bøker av Susmita Bandyopadhyay

This book presents different tools and techniques used for Decision Support Systems (DSS), including decision tree and table, and their modifications, multi-criteria decision analysis techniques, network tools of decision support, and various case-based reasoning methods supported by examples and case studies. Latest developments for each of the techniques have been discussed separately, and possible future research areas are duly identified as intelligent and spatial DSS.Features:Discusses all the major tools and techniques for Decision Support System supported by examples.Explains techniques considering their deterministic and stochastic aspects.Covers network tools including GERT and Q-GERT.Explains the application of both probability and fuzzy orientation in the pertinent techniques.Includes a number of relevant case studies along with a dedicated chapter on software.This book is aimed at researchers and graduate students in information systems, data analytics, operation research, including management and computer science areas.

This text provides a detailed discussion of simulation theory and its applications. It covers current simulation trends, related literature, and the direction of future technologies as well as input modeling, optimization with simulation, continuous simulation, discrete simulation, hybrid simulation, simulation in supply chains and manufacturing, and simulation for multiple disciplines. It also describes various probability distributions required for simulation, random number generation techniques, and explains how to put Microsoft® Excel¿, MATLAB®, and Simulink® to practical use in the simulation process.

This text provides a detailed discussion of simulation theory and its applications. It covers current simulation trends, related literature, and the direction of future technologies as well as input modeling, optimization with simulation, continuous simulation, discrete simulation, hybrid simulation, simulation in supply chains and manufacturing, and simulation for multiple disciplines. It also describes various probability distributions required for simulation, random number generation techniques, and explains how to put Microsoft® Excel¿, MATLAB®, and Simulink® to practical use in the simulation process.