Evaluation of Ranking Accuracy in Multi-Criteria Decisions

Zavadskas, Edmundas Kazimieras; Zakarevičius, Algimantas; Antuchevičienė, Jurgita

doi:10.15388/informatica.2006.158

Cited by 173 publications

(77 citation statements)

References 43 publications

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“…An assumption made with regard to TOPSIS is that the criteria are monotonically increasing or decreasing. TOPSIS requires normalization, because the parameters or criteria of the products generally consist of incongruous dimensions [51,52].…”

Section: Theory and Limitation Of Topsismentioning

confidence: 99%

Preference Evaluation System for Construction Products Using QFD‐TOPSIS Logic by Considering Trade‐Off Technical Characteristics

Cho

Jin

Kim

et al. 2017

Mathematical Problems in Engineering

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This paper investigates the feasibility of quality function deployment, technique for the order of preference by similarity to ideal solution (QFD-TOPSIS) in presenting user preferences for multiple alternatives, such as construction technologies, products, systems, and design solutions, with trade-off technical characteristics (TC). The original QFD as house of quality (HOQ) defines the requirements and features as subjective matrix relations, which cause interpretations to vary across users and limit its industrial applications. QFD-TOPSIS is a new model that combines the benefits of QFD with those of TOPSIS, maintains the subjectivity and objectivity evaluation of the technical characteristics (TC), and rates the preferences by considering users' individual propensity for requirements. In addition, QFD-TOPSIS rates the preferences through the reciprocal compensation effects of trade-off TC and filters unsuitable alternatives with predefined restrictive conditions. Trade-off refers to conflicts and/or contradictions between attributes, often arising in multicriteria decision-making. Users or project stakeholder groups define the priorities of trade-off TC that directly influence product preferences and decision-making. In the present study, we have developed a Web system based on the QFD-TOPSIS logic and tested its operation to verify its industrial applicability and viability for automatic quality evaluation.

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Section: Theory and Limitation Of Topsismentioning

confidence: 99%

Preference Evaluation System for Construction Products Using QFD‐TOPSIS Logic by Considering Trade‐Off Technical Characteristics

Cho

Jin

Kim

et al. 2017

Mathematical Problems in Engineering

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“…In this step, the initial measured values of the criteria are converted to nondimensional relative values, with proportionality of values remaining unchanged. (Zavadskas et al, 2006).…”

Section: Step 2 Stakeholders' Objectives and Indicators Selectionmentioning

confidence: 99%

Application of Multi‐Criteria Analysis on Climate Adaptation Assessment in the Context of Least Developed Countries

Haque¹

2016

Multi Criteria Decision Anal

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The developing countries are suffering the most because of climatic variability and they have an enormous backlog in basic infrastructure to protect their cities. In addition, the resources and technical expertise are limited. Therefore, the adaptation measures to protect their cities are needed to be planned and prioritized carefully to reduce the vulnerability simultaneously considering the risk reduction, local constraints and development goals. A framework for prioritization of adaptation measures is lacking in the decision making in this context which could immensely assist in informed and structured decisions during the planning process of adaptation strategies in developing countries. This paper is exploring the potential of Multi‐Criteria Analysis as a methodology for climate adaptation assessment in order to prioritize the adaptation measures to be undertaken. Hence in this paper Adaptation assessment is conducted within the framework of Multi‐Criteria Analysis methodology which allows both normative judgement and technical expertise in the assessment process. Such a participatory integrated assessment of adaptation options is a new approach in flood management in least developed countries. The assessment framework has been applied and tested at the Eastern fringe of Dhaka city which is highly vulnerable to flooding. Based on the assessment and analysis, adaptive measures are prioritized to enable more effective action. Copyright © 2016 John Wiley & Sons, Ltd.

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“…An assumption of TOPSIS is that the criteria are monotonically increasing or decreasing. Normalisation is usually required as the parameters or criteria are often of incongruous dimensions in multi-criteria problems (Yoon and Hwang, 1995;Zavadskas et al, 2006). Compensatory methods such as TOPSIS allow trade-offs between criteria, where a poor result in one criterion can be negated by a good result in another criterion.…”

Section: Topsismentioning

confidence: 99%

An Empirical Study of Factors Affecting Reduction of Performance in Container Handling Operation

Jafari¹,

Saeidi²,

Kaabi³

2014

KCAJBMR

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Efficiency of ports can create a remarkable influence in decrement of the period of ship stay at port, the period of sedimentation of goods and the decrement of freight payable to shipping companies. Finally, port efficiency also can cause customer satisfaction, demand increase and profitability rising up. In this light, this paper aims to identify and assess the Factors Causing Reduction of Performance in Container Handling Operation at the relevant studied container terminal; the present research has been conducted by use of TOPSIS method. In the first, having considered the daily census of container L/U in the pertinent terminal of the port, As well, brain storming cessions attended by experts from the mentioned terminal were held during which twenty two numbers of causes of delay were detected. Then, based on the criteria occurrence, severity, and probability of detection, the causes were scored. Then based on the obtained scores by each one of the causes, the matrix of decision making was formed and the mentioned causes were ranked by use of TOPSIS method. The obtained results via TOPSIS show that financial and administrative issues (C i = 0.80048) jointed with the factor of deficiency of horizontal L/U equipment (C i = 0.80048), then insufficiency of container yard (C i = 0.67782) and unpreparedness of factors external to the port (C i = 0.67577) were detected as the most important Factors Causing Reduction of Performance in Container Handling Operation of the studied port, respectively.

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Evaluation of Ranking Accuracy in Multi-Criteria Decisions

Cited by 173 publications

References 43 publications

Preference Evaluation System for Construction Products Using QFD‐TOPSIS Logic by Considering Trade‐Off Technical Characteristics

Preference Evaluation System for Construction Products Using QFD‐TOPSIS Logic by Considering Trade‐Off Technical Characteristics

Application of Multi‐Criteria Analysis on Climate Adaptation Assessment in the Context of Least Developed Countries

An Empirical Study of Factors Affecting Reduction of Performance in Container Handling Operation

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