Multiple Criteria Decision Making (MCDM)

Zelený, Milan

doi:10.1002/0471667196.ess1703.pub2

Cited by 325 publications

(458 citation statements)

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“…Especially important results of the MCDM topic were announced in books by Keeney, Raiffa (1976), Zeleny (1982) and Saaty (1980). Hwang et al (1979) reviewed MODM methods, and Hwang and Yoon (1981) overviewed MADM methods (SAW, TOPSIS, ELECTRE, LINMAP and the permutation method).…”

Section: The Development Of Mcdm Methodsmentioning

confidence: 99%

Multi-Criteria Decision Making in Civil Engineering: Part I – A State-of-the-Art Survey

Zavadskas

Antuchevičienė

Kapliński

2016

Engineering Structures and Technologies

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Section: The Development Of Mcdm Methodsmentioning

confidence: 99%

Multi-Criteria Decision Making in Civil Engineering: Part I – A State-of-the-Art Survey

Zavadskas

Antuchevičienė

Kapliński

2016

Engineering Structures and Technologies

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“…Shannon entropy is a concept which is proposed as a measure of uncertainty in information and formulated in terms of probability theory. The concept of entropy is well suited to measuring the relative intensities of contrast criteria in order to represent the average intrinsic information transmitted for decision-making [32]; then the method is applied to describe the thermodynamics information systems [33]. The EWM has already been applied to many research fields such as clinical neurophysiology [34], transport systems [35], environmental time series data, and conflict analysis [36,37].…”

Section: The Translation-corrected Improved Entropy Weightmentioning

confidence: 99%

Using Improved Entropy‐Cloud Model to Select High‐Speed Railway Express Freight Train Service Sites

Huang

Shen

2017

Mathematical Problems in Engineering

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High-speed railway (HSR) express freight train service sites selection is critical to the development of China's Third Party Logistics market. In this paper, we formulate an improved entropy-cloud model based approach to solve the HSR express sites selection problem for the first time. The basic data of the indicators, for example, existing railway network conditions, traffic environment, express freight market demand, and policy, will be used as the inputs. We apply improved entropy method to obtain each subindicator's weight. The cloud model will be used to select and classify each station under evaluation.

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“…The concept of the ideal solution is first introduced as the best decision outcome in a given decision situation [17]. Such a concept is then extended to include the negative ideal solution in order to avoid the worst decision outcome in the decision making process [18].…”

Section: The Interval-valued Intuitionistic Fuzzy Multicriteria mentioning

confidence: 99%

Interval-Valued Intuitionistic Fuzzy Multicriteria Group Decision Making Approach for Hotel Selection

Wibowo¹

2013

IJMLC

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Abstract-Evaluating and selecting the most suitable hotel location for development is complex and challenging. To effectively deal with this problem, this paper presents an interval-valued intuitionistic fuzzy multicriteria group decision making approach for evaluating and selecting hotel locations. The subjectiveness and imprecision of the decision making process are adequately modeled by the use of interval-valued based intuitionistic fuzzy numbers. The concept of ideal solutions is adopted for determining the overall performance of each alternative hotel location across all the selection criteria on which the final decision is made. An example is presented for demonstrating the applicability of the proposed approach for solving real world hotel location selection problems.Index Terms-Group decision making, hotel evaluation and selection, interval-valued based intuitionistic fuzzy numbers, subjectiveness and imprecision.

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Multiple Criteria Decision Making (MCDM)

Cited by 325 publications

References 1 publication

Multi-Criteria Decision Making in Civil Engineering: Part I – A State-of-the-Art Survey

Multi-Criteria Decision Making in Civil Engineering: Part I – A State-of-the-Art Survey

Using Improved Entropy‐Cloud Model to Select High‐Speed Railway Express Freight Train Service Sites

Interval-Valued Intuitionistic Fuzzy Multicriteria Group Decision Making Approach for Hotel Selection

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