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Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions

Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions PDF Author: Hai Wang
Publisher: Springer
ISBN: 9811337357
Category : Business & Economics
Languages : en
Pages : 226

Book Description
This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these expressions in group decision-making; and (3) to clarify the involved approaches by practical applications. The book is especially valuable for readers to understand how linguistic expressions could be employed and operated to make decisions, and motivates researchers to consider more types of natural linguistic expressions in decision analysis under uncertainties.

Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions

Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions PDF Author: Hai Wang
Publisher: Springer
ISBN: 9811337357
Category : Business & Economics
Languages : en
Pages : 226

Book Description
This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these expressions in group decision-making; and (3) to clarify the involved approaches by practical applications. The book is especially valuable for readers to understand how linguistic expressions could be employed and operated to make decisions, and motivates researchers to consider more types of natural linguistic expressions in decision analysis under uncertainties.

Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty

Modeling Complex Linguistic Information to Support Group Decision Making Under Uncertainty PDF Author: Zhen Zhang
Publisher: Springer Nature
ISBN: 981973584X
Category :
Languages : en
Pages : 204

Book Description


Multiple Attribute Group Decision-Making Method Based on Linguistic Neutrosophic Numbers

Multiple Attribute Group Decision-Making Method Based on Linguistic Neutrosophic Numbers PDF Author: Zebo Fang
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 12

Book Description
Existing intuitionistic linguistic variables can describe the linguistic information of both the truth/membership and falsity/non-membership degrees, but it cannot represent the indeterminate and inconsistent linguistic information. To deal with the issue, this paper originally proposes the concept of a linguistic neutrosophic number (LNN), which is characterized independently by the truth, indeterminacy, and falsity linguistic variables. Then, we define the basic operational laws of LNNs and the score and accuracy functions of LNN for comparing LNNs. Next, we develop an LNN-weighted arithmetic averaging (LNNWAA) operator and an LNN-weighted geometric averaging (LNNWGA) operator to aggregate LNN information and investigate their properties. Further, a multiple attribute group decision-making method based on the proposed LNNWAA or LNNWGA operator is established under LNN environment. Finally, an illustrative example about selecting problems of investment alternatives is presented to demonstrate the application and effectiveness of the developed approach.

Handbook of Group Decision and Negotiation

Handbook of Group Decision and Negotiation PDF Author: D. Marc Kilgour
Publisher: Springer Science & Business Media
ISBN: 9048190975
Category : Mathematics
Languages : en
Pages : 473

Book Description
Publication of the Handbook of Group Decision and Negotiation marks a milestone in the evolution of the group decision and negotiation (GDN) eld. On this occasion, editors Colin Eden and Marc Kilgour asked me to write a brief history of the eld to provide background and context for the volume. They said that I am in a good position to do so: Actively involved in creating the GDN Section and serving as its chair; founding and leading the GDN journal, Group Decision and Negotiation as editor-in-chief, and the book series, “Advances in Group Decision and Negotiation” as editor; and serving as general chair of the GDN annual meetings. I accepted their invitation to write a brief history. In 1989 what is now the Institute for Operations Research and the Management Sciences (INFORMS) established its Section on Group Decision and Negotiation. The journal Group Decision and Negotiation was founded in 1992, published by Springer in cooperation with INFORMS and the GDN Section. In 2003, as an ext- sion of the journal, the Springer book series, “Advances in Group Decision and Negotiation” was inaugurated.

Symmetry, vol. 9, issue 10 / 2007 - Special Issue: Neutrosophic Theories Applied in Engineering

Symmetry, vol. 9, issue 10 / 2007 - Special Issue: Neutrosophic Theories Applied in Engineering PDF Author: Florentin Smarandache
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 210

Book Description
This Special Issue presents original research papers that report on state-of-the-art and recent advancements in neutrosophic sets and logic in soft computing, artificial intelligence, big and small data mining, decision making problems, and practical achievements.

Theory and Approaches of Unascertained Group Decision-Making

Theory and Approaches of Unascertained Group Decision-Making PDF Author: Jianjun Zhu
Publisher: CRC Press
ISBN: 1420087517
Category : Technology & Engineering
Languages : en
Pages : 254

Book Description
Tackling the question of how to effectively aggregate uncertain preference information in multiple structures given by decision-making groups, Theory and Approaches of Unascertained Group Decision-Making focuses on group aggregation methods based on uncertainty preference information. It expresses the complexity existing in each group decision-maki

Neutrosophic Information Theory and Applications

Neutrosophic Information Theory and Applications PDF Author: Florentin Smarandach
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 212

Book Description
The concept of Information is to disseminate scientific results achieved via experiments and theoretical results in depth. It is very important to enable researchers and practitioners to learn new technology and findings that enable development in the applied field.

Fuzzy Techniques for Decision Making 2018

Fuzzy Techniques for Decision Making 2018 PDF Author: José Carlos R. Alcantud
Publisher: MDPI
ISBN: 3039364154
Category : Technology & Engineering
Languages : en
Pages : 776

Book Description
Zadeh's fuzzy set theory incorporates the impreciseness of data and evaluations, by imputting the degrees by which each object belongs to a set. Its success fostered theories that codify the subjectivity, uncertainty, imprecision, or roughness of the evaluations. Their rationale is to produce new flexible methodologies in order to model a variety of concrete decision problems more realistically. This Special Issue garners contributions addressing novel tools, techniques and methodologies for decision making (inclusive of both individual and group, single- or multi-criteria decision making) in the context of these theories. It contains 38 research articles that contribute to a variety of setups that combine fuzziness, hesitancy, roughness, covering sets, and linguistic approaches. Their ranges vary from fundamental or technical to applied approaches.

Proceedings of the Eighth International Conference on Management Science and Engineering Management

Proceedings of the Eighth International Conference on Management Science and Engineering Management PDF Author: Jiuping Xu
Publisher: Springer
ISBN: 3642551823
Category : Business & Economics
Languages : en
Pages : 787

Book Description
This is the Proceedings of the Eighth International Conference on Management Science and Engineering Management (ICMSEM) held from July 25 to 27, 2014 at Universidade Nova de Lisboa, Lisbon, Portugal and organized by International Society of Management Science and Engineering Management (ISMSEM), Sichuan University (Chengdu, China) and Universidade Nova de Lisboa (Lisbon, Portugal). The goals of the conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current findings. A total number of 138 papers from 14 countries are selected for the proceedings by the conference scientific committee through rigorous referee review. The selected papers in the first volume are focused on Intelligent System and Management Science covering areas of Intelligent Systems, Decision Support Systems, Manufacturing and Supply Chain Management.

Fuzzy System and Data Mining

Fuzzy System and Data Mining PDF Author: G. Chen
Publisher: IOS Press
ISBN: 1614996199
Category : Computers
Languages : en
Pages : 516

Book Description
Fuzzy logic is widely used in machine control. The term ‘fuzzy’ refers to the fact that the logic involved can deal with concepts that cannot be expressed as either ‘true’ or ‘false’, but rather as ‘partially true’. Fuzzy set theory is very suitable for modeling the uncertain duration in process simulation, as well as defining the fuzzy goals and fuzzy constraints of decision-making. It has many applications in industry, engineering and social sciences. This book presents the proceedings of the 2015 International Conference on Fuzzy Systems and Data Mining (FSDM2015), held in Shanghai, China, in December 2015. The application domain covers geography, biology, economics, medicine, the energy industry, social science, logistics, transport, industrial and production engineering, and computer science. The papers presented at the conference focus on topics such as system diagnosis, rule induction, process simulation/control, and decision-making. They include papers on solving practical problems with intelligent algorithms; statistical analysis; classification and clustering; and association rule learning. They also reflect the frontier in data mining research and address the challenges posed to data analytics research by the increasingly large datasets yielded by many application domains, together with new types of unstructured data. The book provides an overview of the ways in which fuzzy theory and data mining principles are applied in various fields, and will be of interest to all those who work in either the theory or practice of fuzzy systems and data mining.