Advanced Studies in Multi-Criteria Decision Making

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B01=Adiel Teixeira de Almeida
B01=Emel Aktas
B01=Joao Luis de Miranda
B01=Sarah Ben Amor
Category1=Non-Fiction
Category=PBT
Choquet Integral
COP=United Kingdom
Criteria Weight Vector
DEA Model
decision aiding
Decision Maker's Preference
Decision Maker’s Preference
decision support
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ELECTRE Iii
eq_isMigrated=2
eq_nobargain
Fat Bloom
Fuzzy Preference Relation
Language_English
management science
MC Method
MC Model
MCDM Tool
MCDM tools
MPLS Network
Multi-attribute Decision Models
Multi-criteria Decision Making
Multi-criteria Decision Support Systems
multi-criteria evaluation
Multiple Criteria Model
multiple-criteria optimization problems
operations research
Output Orient BCC Model
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PROMETHEE II
PROMETHEE Ii Method
PS=Active
QoS Routing
Relative Criteria Importance
RO Model
smart-city rankings
softlaunch
telecommunication networks
TOPSIS Method
TOPSIS Model
VRS Model
Winning Index

Product details

  • ISBN 9781138743885
  • Weight: 670g
  • Dimensions: 156 x 234mm
  • Publication Date: 16 Dec 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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With contributions from some of the top academics and scientists in the field, Advanced Studies in Multi-Criteria Decision Making presents an updated view of the landscape of Decision Sciences, current research topics, the interaction with other sciences and fields, as well as the prospects and challenges at an international level.

Given that Decision Sciences are recognized today as indispensable for confronting the major societal challenges in science and technology, this book would be of interest to decision-makers, managers, and researchers from academia, and industrial/services companies that would like a fresh insight into MCDM.

Features

  • Integrates a wide range of scientific fields with a general reader approach, including applied researchers from the social, business, enterprise sciences
  • Suitable for academics and professionals
  • Presents a broad coverage of MCDM tools either in industry or in services companies and systems
  • Provides a fresh overview on MCDM studies promoted by prestigious R&D institutions

Sarah Ben Amor holds an MSc and a PhD in Business Administration, specialising in operations and decision support. Her research is focused on multi-criteria decision making. It looks mainly at uncertainty modelling, information imperfections and how they are treated in multi-criteria decision analysis. Her expertise in model building and uncertainties associated with multi-criteria analysis has benefited various R&D projects for Defence R&D Canada – Valcartier, particularly with regard to risk analysis. She also has numerous applications in different fields such as finance, innovation and healthcare systems.

João Luís de Miranda is Adjunct Professor (Tenure Nomination) at College of Technology and Management (Portalegre Polytechnics Institute, Portugal) and researcher in Optimization methods and Process Systems Engineering (PSE) at CERENA (Instituto Superior Técnico, Lisboa). He has been teaching for about two decades in the Mathematics group (mainly: Calculus, Operations Research, Numerical Analysis, Quantitative Methods, Multivariate Analysis) and he is Author/Editor of several publications in Optimization, PSE, and Education subjects in Engineering and OR/MS contexts. He is also interested in strength the referred subjects through international cooperation in multidisciplinary frameworks.

Emel Aktas holds a Chair of Supply Chain Analytics and Professor at Cranfield School of Management. She specialises in mathematical modelling, simulation, decision support systems, and statistical analysis to address supply chains problems, specifically in transport, retail, and manufacturing sectors. Her recent research focuses on food supply chain management, with one project (SAFE-Q) on minimising the waste in food supply chains and another (U-TURN) on logistics collaboration practises for distribution of food in the cities. Her work has appeared in European Journal of Operational Research, Interfaces, International Journal of Production Economics, and Computers and Human Behaviour.

Adiel Teixeira de Almeida is Full Professor of management engineering at Universidade Federal de Pernambuco and founding coordinator of the CDSID (Center for Decision Systems and Information Development). He holds a PhD in management engineering from The University of Birmingham, UK. His main interests are in decision-making related to multiple objectives and group decision problems, which includes methodological issues and applications. Also, he has been working as a consultant and with R&D projects for private and public organizations, where he has applied decision models in many contexts, such as: risk analysis, reliability and maintenance, project portfolio, R&D project portfolio, project management, strategic modeling, outsourcing, information systems, supply chain, and water management. He has authored or co-author over 120 scientific papers in reviewed journals related to a variety of topics such as: Operational Research, Group Decision and Negotiation (GDN), Decision Systems, MCDM/A (Multicriteria Decision Making and Aid), Risk, Reliability, Maintenance, Safety, Quality, and Water Resources and serves on the editorial board of some scholarly journals, including: GDN Journal, IMA Journal of Management Mathematics, International Journal of Decision Support System Technology and EURO Journal on Decision Processes. He has been an active member of the main societies related to Operational Research, Group Decision, MCDM/A topics. Currently, he serves the GDN Section of INFORMS as Vice-President and served, until 2019, the council of the MCDM Section of INFORMS and the Executive Committee of the International Society on Multiple Criteria Decision Making. He is an Associate Research Fellow of the Institute of Mathematics and its Applications (FIMA). He also received in 2017 the INFORMS GDN Section Award.