Solving fuzzy multi-objective shortest path problem based on data envelopment analysis approach

Bagheri, Majid; Ebrahimnejad, Ali; Razavyan, Shabnam; Lotfı, Farhad Hosseinzadeh; Malekmohammadi, Najmeh

doi:10.1007/s40747-020-00234-4

Cited by 23 publications

(19 citation statements)

References 55 publications

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“…The context-dependent DEA model was proposed by Seiford and Zhu in 2003 to grade DMUs into multi-levels, assuming that the production technology satisfies the CRS assumption [27]. Inspired by this model, Guoliang et al [2] proposed to grade DMUs, assuming the production technology satisfies the VRS assumption [29]. The following algorithm explains the procedure: Step1: Run the DEA model ( 2) to obtain a production frontier.…”

Section: Context-dependent Dea Modelmentioning

confidence: 99%

“…Applications of the formal theories of system science in science of science are demonstrated, which reveals how system structural and behavioral complexities may be efficiently reduced [28]. As a popular and effective mathematical method, data envelopment analysis (DEA) has been deeply studied and widely used in many fields [2,22]. Bagheri et al [2] proposed a DEA-based method to multiobjective shortest path problem.…”

Section: Introductionmentioning

confidence: 99%

“…As a popular and effective mathematical method, data envelopment analysis (DEA) has been deeply studied and widely used in many fields [2,22]. Bagheri et al [2] proposed a DEA-based method to multiobjective shortest path problem. Pakkar and Mohammad Sadegh [22] integrated DEA and analytic hierarchy process (AHP) approach to obtain attribute weights.…”

Section: Introductionmentioning

confidence: 99%

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Using context-dependent DEA to analyze the efficiency of highly funded scientists in China

Xiang

Liang

Guo

et al. 2021

Complex Intell. Syst.

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Funding inputs and research outputs have always been two central issues in the science of science. In recent decades, research funding plays an increasingly important role in scientific research. Thus, it is progressively significant for management authorities to measure the research efficiency of highly funded scientists, which can be helpful for them to make effective policies. However, few researchers use quantitative analysis to study these issues. To promote the research in this field, we begin with collecting a dataset. This dataset contains research funding and other information from 345 highly funded scientists in Mainland China. Next, we use the dataset to measure the efficiency of highly funded scientists based on the data envelopment analysis. In this way, highly funded scientists are placed into several levels according to their research inputs and outputs. We also give their attractiveness and progress scores compared to other grades. The learning path for less efficient scientists is also provided. We find that highly funded scientists have relatively high efficiency in three kinds of projects, such as the Major Research Plan. Besides, the career length and career start year are demonstrated to have a limited impact on the highly funded scientists. These patterns are beneficial for the development of the scientific community and management authorities to make policies.

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Section: Context-dependent Dea Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Using context-dependent DEA to analyze the efficiency of highly funded scientists in China

Xiang

Liang

Guo

et al. 2021

Complex Intell. Syst.

View full text Add to dashboard Cite

show abstract

“…Bagheri et al [25] claimed that till now no one has used a fuzzy DEA approach to solve fuzzy multi-objective shortest path problems. To fill this gap, Bagheri et al [25] proposed a fuzzy DEA-based approach to solve fuzzy multi-objective shortest path problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Mehar Approach for Finding Shortest Path in Supply Chain Network

et al. 2021

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The aim of each company/industry is to provide a final product to customers at the minimum possible cost, as well as to protect the environment from degradation. Ensuring the shortest travel distance between involved locations plays an important role in achieving the company’s/industry’s objective as (i) the cost of a final product can be minimized by minimizing the total distance travelled (ii) finding the shortest distance between involved locations will require less fuel than the longest distance between involved locations. This will eventually result in lesser degradation of the environment. Hence, in the last few years, various algorithms have been proposed to solve different types of shortest path problems. A recently proposed algorithm for solving interval-valued Pythagorean fuzzy shortest path problems requires excessive computational efforts. Hence, to reduce the computational efforts, in this paper, firstly, an alternative lexicographic method is proposed for comparing interval-valued Pythagorean fuzzy numbers. Then, using the proposed lexicographic comparing method, a new approach (named as Mehar approach) is proposed to solve interval-valued Pythagorean fuzzy shortest path problems. Furthermore, the superiority of the proposed lexicographic comparing method, as well as the proposed Mehar approach, is discussed.

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“…In fact, they proposed a fuzzy data envelopment analysis (DEA) method for solving multiobjective fuzzy TP (FMOTP) [16]. Bagheri and colleagues also proposed a model for solving the short-term multiobjective fuzzy path problem based on the data envelopment analysis approach [17]. Kachouei et al introduced a common weights approach for the banking industry to evaluate the performance of fuzzy data envelopment analysis with adverse outputs [18].…”

Section: Introductionmentioning

confidence: 99%

An EFQM-Fuzzy Network Data Envelopment Analysis Model for Efficiency Assessment in Organizations

Khosravi

Fallah

Najafi

2021

Journal of Mathematics

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One of the new concepts that have found a considerable position in many countries of the world is organizing EFQM organizational excellence models. Different organizations and institutions have been evaluated and compared on its basis, and the move towards improvement and promotion is strengthened in them due to creation of competitive space. The EFQM organizational excellence model cannot remove the managers’ and users’ need for the levels of quantitative goals’ operation solely. Thus, requirement for a tool which considers quantitative goals and present environment was felt, and in this manner, various assessment processes were created to be used in different organizations; one of the most important ones is the technique for Data Envelopment Analysis. Evaluating organization efficiency based on the EFQM model is one of the strategic managerial tools in many organizations. The classic DEA models were designed to work with deterministic data and cannot deal with uncertainties in their inputs. The techniques developed so far for fuzzy performance evaluation are also very limited. Given that the inputs and outputs of a real system are not always definite and accurate and that some data can only be expressed in vague verbal and subjective terms, the use of fuzzy sets in modeling is inevitable (Ali et al., 2019). In this paper, a Network Data Envelopment Analysis Model is proposed in fuzzy conditions for assessing units of an organization based on an organizational excellence model. The suggestive model utilizes the privileges of both Fuzzy Network Data Envelopment Analysis and EFQM organizational excellence models simultaneously in order to assess organization’s efficiency. The Fuzzy Network Data Envelopment Analysis model is able to calculate the whole organization’s efficiency as well as organization’s efficiency separately for various phases of the organizational excellence model. Another privilege of the suggested model is that it utilizes fuzzy theory and concepts for modeling and observance of existing noncertainties in the experts’ views while assessing organization’s excellence criteria. The EFQM-fuzzy network DEA model is applied for assessing a holding’s organizational units within the discipline of “project management.”

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Solving fuzzy multi-objective shortest path problem based on data envelopment analysis approach

Cited by 23 publications

References 55 publications

Using context-dependent DEA to analyze the efficiency of highly funded scientists in China

Using context-dependent DEA to analyze the efficiency of highly funded scientists in China

Mehar Approach for Finding Shortest Path in Supply Chain Network

An EFQM-Fuzzy Network Data Envelopment Analysis Model for Efficiency Assessment in Organizations

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