Soft Computing Evaluation Logic E-Book

Jozo Dujmovic

• Herausgeber: John Wiley & Sons
• Kategorie: Wissenschaft und neue Technologien
• Serie: Wiley - IEEE
• Sprache: Englisch

Seitenzahl: 1253

Veröffentlichungsjahr: 2018

Beschreibung

A novel approach to decision engineering, with a verified framework for modeling human reasoning Soft Computing Evaluation Logic provides an in-depth examination of evaluation decision problems and presents comprehensive guidance toward the use of the Logic Scoring of Preference (LSP) method in modeling complex decision criteria. Fully aligned with current developments in computational intelligence, the discussion covers the design and use of LSP criteria for evaluation and comparison in diverse areas, such as search engines, medical conditions, real estate, space management, habitat mitigation projects in ecology, and land use and residential development suitability maps, with versatile transfer to other similar decision-modeling contexts. Human decision making is rife with fuzziness, imprecision, uncertainty, and half-truths--yet humans make evaluation decisions every day. In this book, such decision processes are observed, analyzed, and modeled. The result is graded logic, a soft computing mathematical infrastructure that provides both formal logic and semantic generalizations of classical Boolean logic. Graded logic is used for logic aggregation in the context of evaluation models consistent with observable properties of human reasoning. The LSP method, based on graded logic and logic aggregation, is a vital component of an industrial-strength decision engineering framework. Thus, the book: * Provides detailed theoretical background for graded logic * Provides a theory of logic aggregators * Explains the LSP method for designing complex evaluation criteria and their use * Shows techniques for evaluation, comparison, and selection of complex systems, as well as the cost/suitability analysis, optimization, sensitivity analysis, tradeoff analysis, and missingness-tolerant aggregation * Includes a survey of available LSP software tools, including ISEE, ANSY and LSP.NT. With quantitative modeling of human reasoning, novel approaches to modeling decision criteria, and a verified decision engineering framework applicable to a broad array of applications, this book is an invaluable resource for graduate students, researchers, and practitioners working within the decision engineering realm.

Leseprobe

Soft Computing Evaluation Logic

The LSP Decision Method and Its Applications

Jozo Dujmović

Department of Computer ScienceSan Francisco State University

This edition first published 2018© 2018 John Wiley & Sons, Inc.

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Library of Congress Cataloging‐in‐Publication DataNames: Dujmović, Jozo- author.Title: Soft computing evaluation logic : the LSP decision method and its applications / by Jozo Dujmović.Description: Hoboken, NJ : John Wiley & Sons, 2018. | Includes bibliographical references and index. |Identifiers: LCCN 2017039552 (print) | LCCN 2017046281 (ebook) | ISBN 9781119256465 (pdf) | ISBN 9781119256472 (epub) | ISBN 9781119256458 (cloth)Subjects: LCSH: Soft computing. | Evaluation–Methodology. | Artificial intelligence.Classification: LCC QA76.9.S63 (ebook) | LCC QA76.9.S63 D85 2018 (print) | DDC 006.3–dc23LC record available at https://lccn.loc.gov/2017039552

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Preface

Seek simplicity and distrust it.

—Alfred North Whitehead

This book is a monograph on evaluation, an area of soft computing. It can also serve as a toolbox for solving practical evaluation problems. The goal of this book is to develop mathematical logic that can answer fundamental questions related to problems of evaluation, comparison, and selection of complex alternatives. These problems are common and present in business, engineering, and in everyday personal decision making. Our objective is to integrate results scattered in research papers published over many years and to present an evaluation methodology that is strong enough to be used in professional decision making. The methodology draws on work in soft computing, fuzzy systems, multi‐criteria and multi‐attribute decision making, or generally, on work in computational intelligence.