A De Novo multi-approaches multi-criteria decision making technique with an application in performance evaluation of material handling device

Bairagi, Bipradas; Dey, Balaram; Sarkar, Bijan; Sanyal, S.K.

doi:10.1016/j.cie.2015.05.015

Cited by 42 publications

(24 citation statements)

References 35 publications

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“…It is an important application of fuzzy mathematics in the field of natural science and social science [13][14][15][16]. According to the principle of fuzzy comprehensive evaluation, the multischeme optimization problem can be transformed into solving the evaluation vector B = A ⋅ R. So it is the key to determine the fuzzy evaluation indicator matrix R and the indicator importance vector A for the multischeme sorting and optimization [17][18][19][20][21][22][23].…”

Section: Comprehensive Evaluation Methodmentioning

confidence: 99%

Ship Hull Principal Dimensions Optimization Employing Fuzzy Decision-Making Theory

Chen

You

et al. 2016

Mathematical Problems in Engineering

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The paper presents an optimization method for the ship hull principal dimensions scheme employing the fuzzy decision-making theory. First of all, the paper establishes the fuzzy decision-making model of the ship hull principal dimensions optimization, and then a series of ship hull principal dimensions schemes are accordingly constructed by employing the variable value method. On the basis of this, the fuzzy decision-making method is employed to evaluate the series ship hull principal dimensions schemes. Finally, the optimal ship hull principal dimensions scheme is obtained. The example demonstration verified the proposed method’s validity for ship hull principal dimensions optimization economic performance.

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Section: Comprehensive Evaluation Methodmentioning

confidence: 99%

Ship Hull Principal Dimensions Optimization Employing Fuzzy Decision-Making Theory

Chen

You

et al. 2016

Mathematical Problems in Engineering

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“…Deng, 2005) focuses on the study of problems involving small samples, and deals with uncertain systems with partially known information. This technique has been used in many supply chain topics, such as supplier selection (Liou et al 2016), website quality evaluation (Ecer 2014), machine tool selection (Nguyen et al 2014) and performance evaluation of device (Bairagi et al 2015). In this study, we apply the COPRAS-G method to calculate the utility degree and priority order of CLSP selection for disaster preparation, which consists of the following six steps.…”

Section: The Copras-g Approachmentioning

confidence: 99%

Logistics service provider selection for disaster preparation: a socio-technical systems perspective

Kim¹,

Ramkumar²,

Subramanian

2018

Ann Oper Res

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Since 1990s, the world has seen a lot of advances in providing humanitarian aid through sophisticated logistics operations. The current consensus seems to be that humanitarian relief organizations (HROs) can improve their relief operations by collaborating with logistics service providers (CLSPs) in the commercial sector. The question remains: how can HROs select the most appropriate CLSP for disaster preparation? Despite its practical significance, no explicit effort has been done to identify the criteria/factors in prioritizing and selecting a CLSP for disaster relief. The present study aims to address this gap by consolidating the list of criteria from a socio-technical systems (STS) perspective. Then, to handle the interdependence among the criteria derived from the STS, we develop a hybrid multi-criteria decision making model for CLSP selection in the disaster preparedness stage. The proposed model is then evaluated by a real-life case study, providing insights into the decision-makers in both HROs and CLSPs.

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“…Firstly, the maximized closeness index of each alternative is calculated by (12). Secondly, the mean measure of each alternative's cross closeness index is computed by (15). Third, the deviation measure of each alternative's cross closeness index is obtained by (16).…”

Section: 3mentioning

confidence: 99%

“…is obtained. Similar to that defined by (14) and (15), the mean and deviation measures of alternative are denoted by ( ) = ∑ =1 and ( ) = √ ∑ =1 ( − ( )) 2 / , respectively. Note that (12), (18), and (19) are nonlinear models; they can be transformed into linear forms according to practical cases.…”

Section: Model With Ordinal Attribute Valuementioning

confidence: 99%

“…As an active research area, MADM problems have been tried to be solved by some classical methods such as the simple additive weighting method (SAW), the analytic hierarchy process (AHP), and the technique for order preference by similarity to ideal solution (TOPSIS) [5][6][7]. It also has been extensively applied to many aspects such as economics, management, engineering, and technology [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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Multiple Attribute Decision Making Based on Cross-Evaluation with Uncertain Decision Parameters

Ding

Liang

Yang

et al. 2016

Mathematical Problems in Engineering

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Multiple attribute decision making (MADM) problem is one of the most common and popular research fields in the theory of decision science. A variety of methods have been proposed to deal with such problems. Nevertheless, many of them assumed that attribute weights are determined by different types of additional preference information which will result in subjective decision making. In order to solve such problems, in this paper, we propose a novel MADM approach based on cross-evaluation with uncertain parameters. Specifically, the proposed approach assumes that all attribute weights are uncertain. It can overcome the drawback in prior research that the alternatives' ranking may be determined by a single attribute with an overestimated weight. In addition, the proposed method can also balance the mean and deviation of each alternative's cross-evaluation score to guarantee the stability of evaluation. Then, this method is extended to a more generalized situation where the attribute values are also uncertain. Finally, we illustrate the applicability of the proposed method by revisiting two reported studies and by a case study on the selection of community service companies in the city of Hefei in China.

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A De Novo multi-approaches multi-criteria decision making technique with an application in performance evaluation of material handling device

Cited by 42 publications

References 35 publications

Ship Hull Principal Dimensions Optimization Employing Fuzzy Decision-Making Theory

Ship Hull Principal Dimensions Optimization Employing Fuzzy Decision-Making Theory

Logistics service provider selection for disaster preparation: a socio-technical systems perspective

Multiple Attribute Decision Making Based on Cross-Evaluation with Uncertain Decision Parameters

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