Using fuzzy MCDM to select partners of strategic alliances for liner shipping

Ding, Ji-Feng; Liang, Gin-Shuh

doi:10.1016/j.ins.2004.07.013

Cited by 174 publications

(77 citation statements)

References 25 publications

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“…Therefore, it is not feasible to rely on a single criterion for judgment. On the contrary, there is the need to consider a number of criteria characteristics, and in order to have an objective and fair decision-making process, the evaluation must rely more on FMCDM to achieve a good conclusion [3].…”

Section: The Research Framework Of Fuzzy Decision-making Modelmentioning

confidence: 99%

Fuzzy Multiple Criteria Decision Making Method Applied to Evaluation of Service Quality for Five-Star Hotels

Wu¹,

Ting²

2016

Proceedings of the 2016 International Conference on Management Science and Management Innovation

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Abstract-this study uses Fuzzy Multiple Criteria DecisionMaking (FMCDM) theory combined with the Expert Opinion method to provide appropriate evaluation criteria weights and fuzzy numbers, and uses Fuzzy Ranking methods for ranking based on an integrated assessment to serve as the basis and reference for the "Best Five-Star Tourist Hotel Service Quality Award" in Taiwan. This study is based on a sample rating of 8 participating hotels, supplemented by relevant literature for more in-depth discussions, and puts forward relevant practical and research proposals.

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Section: The Research Framework Of Fuzzy Decision-making Modelmentioning

confidence: 99%

Fuzzy Multiple Criteria Decision Making Method Applied to Evaluation of Service Quality for Five-Star Hotels

Wu¹,

Ting²

2016

Proceedings of the 2016 International Conference on Management Science and Management Innovation

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“…Pairwise comparison is used to calculate the relative importance weighing of each risk criterion with the incorporation of Fuzzy numbers to capture the subjective expert's judgments in the process. The output is a Fuzzy comparison matrix (Ding, Liang 2005;Xu, Chen 2007). …”

Section: Pairwise Comparison To Establish Fuzzy Comparison Matrixmentioning

confidence: 99%

Design and Pilot Run of Fuzzy Synthetic Model (Fsm) for Risk Evaluation in Civil Engineering

Abdul‐Rahman

Chen

Lee

2013

Journal of Civil Engineering and Management

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Abstract. Most of the current construction risk assessment tools deliver unsatisfactory results because the prerequisite for their effective applications rely on the availability of high quality data especially during the early stage of a project. Unfortunately, such data are limited, ambiguous or even not exist due to the great uncertainty inherent in construction projects. Based on Fuzzy Synthetic Analysis (FSA), a model development team was formed among construction engineers, IT professionals, and Mathematicians in developing a holistic risk assessment model to estimate the construction risks especially for the situations with incomplete data and vague environments. Through qualitative scales defined by triangular fuzzy numbers used in pairwise comparisons to capture the vagueness in the linguistic variables, a risk assessment model using Analytic Hierarchy Process (AHP) was developed. The Pilot Run revealed the developed Fuzzy Synthetic Model (FSM) could accelerate the decisionmaking process and provide optimal allocation of project resources to mitigate possible risks detrimental to the success of a project in terms of time, cost, and quality.

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“…Therefore, TOPSIS is combined with fuzzy logic in order to eliminate the drawbacks of the conventional TOPSIS, which is well-known asFTOPSIS. This technique has been adopted in many different applications, includingservice quality (Buyukozkan, <;ifC;i, 2012;Awasthi,et al 2011a), strategic management (Ding. 2005;Kahraman, 2004;Kabak, 2012;Fu, 2007;Dagdeviren, 2009;Paksoy,et al 2011;, risk assessment (Braglia,et al 2003;Wang.…”

Section: Considered Problemmentioning

confidence: 99%

Using A Integrated MCDM Model for Mining Method Selection in Presence of Uncertainty

Yazdani-Chamzini

Yakchali

Zavadskas

2012

Economic Research-Ekonomska Istraživanja

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Using fuzzy MCDM to select partners of strategic alliances for liner shipping

Cited by 174 publications

References 25 publications

Fuzzy Multiple Criteria Decision Making Method Applied to Evaluation of Service Quality for Five-Star Hotels

Fuzzy Multiple Criteria Decision Making Method Applied to Evaluation of Service Quality for Five-Star Hotels

Design and Pilot Run of Fuzzy Synthetic Model (Fsm) for Risk Evaluation in Civil Engineering

Using A Integrated MCDM Model for Mining Method Selection in Presence of Uncertainty

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