Application Of Decision Aiding Software
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Author | : Stuart S. Nagel |
Publisher | : Springer |
Total Pages | : 312 |
Release | : 1991-06-18 |
Genre | : Computers |
ISBN | : 1349116572 |
The aim of this book is to clarify what is involved in using decision-aiding software in evaluative decision-making at a non-technical level. Topics covered include the skills that software enhances, the obstacles that it helps overcome, and the applications to diverse fields.
Author | : Stuart S. Nagel |
Publisher | : Springer |
Total Pages | : 311 |
Release | : 1992-06-18 |
Genre | : Computers |
ISBN | : 1349124982 |
Decision-aiding software is applied in this book to government, personal decisions, law, teaching, decision-analysis research, cross-national decision-making, business and politics.
Author | : Stuart S. Nagel |
Publisher | : |
Total Pages | : 304 |
Release | : 1992 |
Genre | : |
ISBN | : |
Author | : Jie Lu |
Publisher | : Imperial College Press |
Total Pages | : 407 |
Release | : 2007 |
Genre | : Business & Economics |
ISBN | : 1860948596 |
This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice.
Author | : M. Lisa Miller |
Publisher | : Prentice Hall |
Total Pages | : 180 |
Release | : 2003 |
Genre | : Business & Economics |
ISBN | : |
A casebook to complement most MIS/CIS textbooks. Designed to demonstrate how software can support managerial decision-making activities, this casebook features 20 cases (more than another casebook currently on the market) that cover functional areas of the firm, are spread across three difficulty levels basic, intermediate, and advanced and require students to apply spreadsheet, database, Web-page development, and/or presentation graphics software, often in an integrated manner. The cases present common managerial issues and problems and encourage students to actually use their models to make decisions for the case's characters. Many of the cases require students to prepare both written and oral presentations of their solutions.
Author | : Stuart S. Nagel |
Publisher | : Palgrave Macmillan |
Total Pages | : 304 |
Release | : 1992-01-01 |
Genre | : Decision making |
ISBN | : 9780312068110 |
Author | : Mykel J. Kochenderfer |
Publisher | : MIT Press |
Total Pages | : 350 |
Release | : 2015-07-24 |
Genre | : Computers |
ISBN | : 0262331713 |
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Author | : R. Schank |
Publisher | : Springer |
Total Pages | : 223 |
Release | : 2010-08-16 |
Genre | : Business & Economics |
ISBN | : 0230110398 |
We now possess the capability to make great business decisions in even the most difficult situations with the use of today's advanced software capability. The authors, who are experts in the field, explain the new science of decision-making and offer examples and advice that will enable readers put it to use in their organizations.
Author | : Guang-quan Zhang |
Publisher | : World Scientific |
Total Pages | : 407 |
Release | : 2007-05-10 |
Genre | : Business & Economics |
ISBN | : 1908979259 |
This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice./a
Author | : Stuart S. Nagel |
Publisher | : University Press of Amer |
Total Pages | : 288 |
Release | : 1992 |
Genre | : Business & Economics |
ISBN | : 9780819187383 |
This book is designed to help people improve their decision-making skills by learning decision-aiding software. The learning process can be greatly facilitated through the self-teaching features of this book. The book presupposes no prior knowledge of computers, software, or decision analysis. It begins at an introductory level describing data input, tentative analysis, and what-if analysis. Teach Yourself Decision-Aiding Software then proceeds to an intermediate level where the software is used to overcome obstacles to systematic decision-making such as multiple dimensions on multiple goals, multiple missing information, multiple alternatives that are too many to determine the effects of each one. The book then proceeds to an advanced level where the software is concerned with prediction, explanation, and causal analysis, rather than prescription, evaluation, and normative analysis. It also deals with special conditions of decision-making. This book is coordinated with the P/G% decision-aiding software. In the back of the book, a floppy disk contains the program plus ten illustrative data files that correspond to the examples used in the book.