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Showing 1 - 6 of
6 matches in All Departments
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Real-Life Decision-Making
Mats Danielson, Love Ekenberg
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R700
R612
Discovery Miles 6 120
Save R88 (13%)
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Ships in 10 - 15 working days
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A book for the interested layman or professional, interested in
making better important decisions (personal or corporate) with
relative ease. The book takes a prescriptive stand, prioritising
real-world effective methods over theoretical exposes or describing
(albeit sometimes amusing) shortcomings of humans making decisions.
It will sit comfortable amidst prescriptive books, highlighting
human shortcomings, and normative books, telling people which
mistakes they are doing without showing practical methods to
circumvent the inevitable shortcomings of humans.
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Real-Life Decision-Making
Mats Danielson, Love Ekenberg
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R3,105
R2,494
Discovery Miles 24 940
Save R611 (20%)
|
Ships in 10 - 15 working days
|
A book for the interested layman or professional, interested in
making better important decisions (personal or corporate) with
relative ease. The book takes a prescriptive stand, prioritising
real-world effective methods over theoretical exposes or describing
(albeit sometimes amusing) shortcomings of humans making decisions.
It will sit comfortable amidst prescriptive books, highlighting
human shortcomings, and normative books, telling people which
mistakes they are doing without showing practical methods to
circumvent the inevitable shortcomings of humans.
This book considers a broad range of areas from decision making
methods applied in the contexts of Risk, Reliability and
Maintenance (RRM). Intended primarily as an update of the 2015 book
Multicriteria and Multiobjective Models for Risk, Reliability and
Maintenance Decision Analysis, this edited work provides an
integration of applied probability and decision making. Within
applied probability, it primarily includes decision analysis and
reliability theory, amongst other topics closely related to risk
analysis and maintenance. In decision making, it includes
multicriteria decision making/aiding (MCDM/A) methods and
optimization models. Within MCDM, in addition to decision analysis,
some of the topics related to mathematical programming areas are
considered, such as multiobjective linear programming,
multiobjective nonlinear programming, game theory and negotiations,
and multiobjective optimization. Methods related to these topics
have been applied to the context of RRM. In MCDA, several other
methods are considered, such as outranking methods, rough sets and
constructive approaches. The book addresses an innovative treatment
of decision making in RRM, improving the integration of fundamental
concepts from both areas of RRM and decision making. This is
accomplished by presenting current research developments in
decision making on RRM. Some pitfalls of decision models on
practical applications on RRM are discussed and new approaches for
overcoming those drawbacks are presented.
This book considers a broad range of areas from decision making
methods applied in the contexts of Risk, Reliability and
Maintenance (RRM). Intended primarily as an update of the 2015 book
Multicriteria and Multiobjective Models for Risk, Reliability and
Maintenance Decision Analysis, this edited work provides an
integration of applied probability and decision making. Within
applied probability, it primarily includes decision analysis and
reliability theory, amongst other topics closely related to risk
analysis and maintenance. In decision making, it includes
multicriteria decision making/aiding (MCDM/A) methods and
optimization models. Within MCDM, in addition to decision analysis,
some of the topics related to mathematical programming areas are
considered, such as multiobjective linear programming,
multiobjective nonlinear programming, game theory and negotiations,
and multiobjective optimization. Methods related to these topics
have been applied to the context of RRM. In MCDA, several
other methods are considered, such as outranking methods, rough
sets and constructive approaches. The book addresses an
innovative treatment of decision making in RRM, improving the
integration of fundamental concepts from both areas of RRM and
decision making. This is accomplished by presenting current
research developments in decision making on RRM. Some pitfalls of
decision models on practical applications on RRM are discussed and
new approaches for overcoming those drawbacks are presented.
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