Multiple Attribute Decision Making Under Uncertainty

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Multiple Attribute Decision Making Under Uncertainty

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Author : Vasilios Karakostas
language : en
Publisher:
Release Date : 1998

Multiple Attribute Decision Making Under Uncertainty written by Vasilios Karakostas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.

Uncertain Multi Attribute Decision Making

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Author : Zeshui Xu
language : en
Publisher: Springer
Release Date : 2015-02-05

Uncertain Multi Attribute Decision Making written by Zeshui Xu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-05 with Business & Economics categories.

This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making with finite alternatives, is an important component of modern decision science. The theory and methods of multi-attribute decision making have been extensively applied in engineering, economics, management and military contexts, such as venture capital project evaluation, facility location, bidding, development ranking of industrial sectors and so on. Over the last few decades, great attention has been paid to research on multi-attribute decision making in uncertain settings, due to the increasing complexity and uncertainty of supposedly objective aspects and the fuzziness of human thought. This book can be used as a reference guide for researchers and practitioners working in e.g. the fields of operations research, information science, management science and engineering. It can also be used as a textbook for postgraduate and senior undergraduate students.

A Proxy Approach To Multi Attribute Decision Making

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Author : Kenneth R. Oppenheimer
language : en
Publisher:
Release Date : 1977

A Proxy Approach To Multi Attribute Decision Making written by Kenneth R. Oppenheimer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Decision making categories.

In many decision problems, the possible outcomes have several important dimensions of value. To identify the optimal alternative, the decision analyst must assess the decision maker's preferences over these multi-attribute outcomes. Two rival procedures for solving multi-attribute preference problems currently exist. These two procedures, global preference modeling and local preference modeling, each have advantages and disadvantages. This dissertation combines these two rival procedures in a new approach to multi-attribute decision making. This new combined method, called the proxy approach, uses the advantages of one technique to overcome the disadvantages of the other.

A Study Of Multiple Attributes Decision Making Methods Facing Uncertain Attributes

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Author : Mohammadhossein Amini
language : en
Publisher:
Release Date : 2015

A Study Of Multiple Attributes Decision Making Methods Facing Uncertain Attributes written by Mohammadhossein Amini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.

Many decision-making methods have been developed to help decision makers (DMs) make efficient decisions. One decision making method involves selecting the best choice among alternatives based on a set of criteria. Multiple Attribute Decision-Making (MADM) methods allow opportunities to determine the optimal alternative based on multiple attributes. This research aims to overcome two concerns in current MADM methods: uncertainty of attributes and sensitivity of ranking results. Based on availability of information for attributes, a DM maybe certain or uncertain on his judgment on alternatives. Researchers have introduced the use of linguistic terms or uncertain intervals to tackle the uncertainty problems. This study provides an integrated approach to model uncertainty in one of the most popular MADM methods: TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Current MADM methods also provide a final ranking of alternatives under consideration and, the final solution is based on a calculated number assigned to each alternative. Results have shown that the final value of alternatives may be close to each other uncertain attributes, but current methods rank alternatives according to the final scores. It exhibits a sensitivity issue related to formation of the ranking list. The proposed method solves this problem by simulating random numbers within uncertain intervals in the decision matrix. The proposed outcome is a ranking distribution for alternatives. The proposed method is based on TOPSIS, which defines the best and the worst solution for each attribute and defines the best alternative as closest to best and farthest from the worst solution. Random number distributions were studied under the proposed simulation solution approach. Result showed that triangular random number distribution provides better ranking results than uniform distribution. A case study of building design selection considering resiliency and sustainability attributes was presented to demonstrate use of the proposed method. The study demonstrated that proposed method can provide better decision option for designers due to the ability to consider uncertain attributes. In addition using the proposed method, a DM can observe the final ranking distribution resulted from uncertain attribute values.

Several Intuitionistic Fuzzy Multi Attribute Decision Making Methods And Their Applications

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Author : Zhinan Hao
language : en
Publisher: Springer Nature
Release Date : 2020-03-14

Several Intuitionistic Fuzzy Multi Attribute Decision Making Methods And Their Applications written by Zhinan Hao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-14 with Business & Economics categories.

This book introduces readers to the latest advances in and approaches to intuitionistic fuzzy decision-making methods. To do so, it explores a range of applications to practical decision-making problems, together with representative case studies. Examining a host of decision-making methods, most of which are based on intuitionistic fuzzy aggregation operators, its goal is to offer readers a new way to study decision-making methods in the intuitionistic fuzzy environment. Chiefly intended for practitioners and researchers working in the areas of risk management, decision-making under uncertainty, and operational research, the book can also be used as supplementary material for graduate and senior undergraduate courses in these areas.

Multi Attribute Decision Making Via O R Based Expert Systems

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Author : Ralph L. Keeney
language : en
Publisher:
Release Date : 1988

Multi Attribute Decision Making Via O R Based Expert Systems written by Ralph L. Keeney and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Decision making categories.

Multiple Attribute Decision Making

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Author : Kwangsun Yoon
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 1995-01-17

Multiple Attribute Decision Making written by Kwangsun Yoon and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-17 with Business & Economics categories.

This volume offers social scientists a concise overview of multiple attribute decision making (MADM) methods, their characteristics and applicability and methods for solving MADM problems. Real world examples are used to introduce the reader to normative models for optimal decisions. The authors explore how MADM methods can be used for descriptive purposes to model: the existing decision-making process; noncompensatory and scoring methods; accommodation of soft data; construction of a multiple-decision support systems; and the validity of methods. The advanced procedures of TOPSIS and ELECTRE are also presented.

Multi Attribute Decision Making Under Uncertainty Using Preference Ranges

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Author : Aziz M. Naim
language : en
Publisher:
Release Date : 2008

Multi Attribute Decision Making Under Uncertainty Using Preference Ranges written by Aziz M. Naim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.

Success in engineering design is greatly dependent on the decisions being made by the designers throughout a design process. In addition, engineering problems are mostly complex in nature, which leaves the designer performing complex trade-off decisions in order to pick a point, or set of points with which to proceed. In order to increase the level of confidence in the decision making process, it is necessary to accurately translate the designer's preferences as well as incorporate the inherent and inevitable presence of uncertainty within the design process. This thesis proposes a new method of incorporating the designer's preferences based on the concept of Physical Programming [7] preference ranges as well as representing uncertainty within a given multi-objective optimization problem (MOP) using a visualization tool method named Hyper Radial Visualization (HRV). By defining the preferences and uncertainty present in a MOP, the method will differentiate the points as well as sort out the infeasible ones based on the uncertainty defined by the designer. Two case studies are presented in this thesis to illustrate the mechanism behind the method as well as the impact the method has on different problems with varying levels of complexity. The first case study illustrates the mechanism driving the method for a real engineering problem. The second case study illustrates the method in a high dimensional problem. Finally, based on the results obtained in the case studies, future work is addressed.

Question Selection For Multi Attribute Decision Aiding

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Author : Hillary A. Holloway
language : en
Publisher:
Release Date : 2002

Question Selection For Multi Attribute Decision Aiding written by Hillary A. Holloway and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.

Computers And Information Processing Technologies I

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Author : Prasad Yarlagadda
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2014-06-10

Computers And Information Processing Technologies I written by Prasad Yarlagadda and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-10 with Technology & Engineering categories.

Selected, peer reviewed papers from the International Conference on Computers and Information Processing Technologies (ICCIPT 2014), April 23-24, 2014, Shanghai, China