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Optimization techniques for problem ...
~
Ngnotchouye, Jean Medard T., (1980-)
Optimization techniques for problem solving in uncertainty
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Optimization techniques for problem solving in uncertainty/ Surafel Luleseged Tilahun (University of Zululand, South Africa), Jean Medard T. Ngnotchouye (University of KwaZulu-Natal, South Africa), editors.
other author:
Tilahun, Surafel Luleseged,
Published:
Hershey PA :IGI Global, : 2018.,
Description:
1 online resource (xiv, 313 p.)
Notes:
"Premier reference source"-- book cover.
Subject:
Decision making. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5091-4
ISBN:
9781522550921 (ebk.)
Optimization techniques for problem solving in uncertainty
Optimization techniques for problem solving in uncertainty
[electronic resource] /Surafel Luleseged Tilahun (University of Zululand, South Africa), Jean Medard T. Ngnotchouye (University of KwaZulu-Natal, South Africa), editors. - Hershey PA :IGI Global,2018. - 1 online resource (xiv, 313 p.) - Advances in data mining and database management (ADMDM) book series.
"Premier reference source"-- book cover.
Includes bibliographical references and index.
"This book is devoted to recent developments, reviews and tutorials of decision making or optimization under uncertainty. Different models ranging from stochastic to grey and their connection will be outlines with highlighting possible future works along with applications on real case problems"--
ISBN: 9781522550921 (ebk.)
LCCN: 2017035104Subjects--Topical Terms:
528319
Decision making.
LC Class. No.: T57.95 / .O68 2018
Dewey Class. No.: 658.4/033
Optimization techniques for problem solving in uncertainty
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Surafel Luleseged Tilahun (University of Zululand, South Africa), Jean Medard T. Ngnotchouye (University of KwaZulu-Natal, South Africa), editors.
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"This book is devoted to recent developments, reviews and tutorials of decision making or optimization under uncertainty. Different models ranging from stochastic to grey and their connection will be outlines with highlighting possible future works along with applications on real case problems"--
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5091-4
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