9780521438834-0521438837-Decisions with Multiple Objectives: Preferences and Value Tradeoffs

Decisions with Multiple Objectives: Preferences and Value Tradeoffs

ISBN-13: 9780521438834
ISBN-10: 0521438837
Edition: Revised
Author: Howard Raiffa, Ralph L. Keeney
Publication date: 1993
Publisher: Cambridge University Press
Format: Paperback 592 pages
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Book details

ISBN-13: 9780521438834
ISBN-10: 0521438837
Edition: Revised
Author: Howard Raiffa, Ralph L. Keeney
Publication date: 1993
Publisher: Cambridge University Press
Format: Paperback 592 pages

Summary

Decisions with Multiple Objectives: Preferences and Value Tradeoffs (ISBN-13: 9780521438834 and ISBN-10: 0521438837), written by authors Howard Raiffa, Ralph L. Keeney, was published by Cambridge University Press in 1993. With an overall rating of 3.8 stars, it's a notable title among other Economic History (Economics, Decision-Making & Problem Solving, Management & Leadership, Management, Decision Making, Business Skills, Mental Health, Psychology & Counseling, General, Psychology) books. You can easily purchase or rent Decisions with Multiple Objectives: Preferences and Value Tradeoffs (Paperback) from BooksRun, along with many other new and used Economic History books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $6.3.

Description

Many of the complex problems faced by decision makers involve multiple conflicting objectives. This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives. The theory is illustrated by many real concrete examples taken from a host of disciplinary settings. The standard approach in decision theory or decision analysis specifies a simplified single objective like monetary return to maximise. By generalising from the single objective case to the multiple objective case, this book considerably widens the range of applicability of decision analysis.

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