A new method for probabilistic linguistic multi-attribute group decision making: Application to the selection of financial technologies

Mao, Xiaobing; Wu, Min; Dong, Jiuying; Wan, Shouhong; Zhou, Jin

doi:10.1016/j.asoc.2019.01.009

Cited by 125 publications

(84 citation statements)

References 53 publications

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“…In addition, comparative analysis is carried out to show the applicability and effectiveness of the proposed NS-DANP method under a single valued neutrosophic environment compared to other existing methods. It is consistent with most of the past research in decision analysis, where comparative analysis was made to compare their proposed methods with existing methods [62][63][64].…”

Section: Introductionsupporting

confidence: 79%

An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

2019

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The recent boom of various integrated decision-making methods has attracted many researchers to the field. The recent integrated Analytic Network Process and Decision Making Trial and Evaluation Laboratory (ANP–DEMATEL) methods were developed based on crisp numbers and fuzzy numbers. However, these numbers are incapable of dealing with the indeterminant and inconsistent information that exists in real-life problems. This paper proposes improvements to the integrated ANP–DEMATEL method by bringing together the neutrosophic numbers, the ANP method, and the DEMATEL method, which are later abbreviated to NS-DANP. The proposed NS-DANP method can handle the indeterminacy elements in the decision-making environment, as the single-valued neutrosophic numbers are used in the decision analysis. This proposed NS-DANP modification method includes linguistic variables representing the single-valued neutrosophic numbers (SVNNs), and also introduces the single-valued neutrosophic weighted averaging (SVNWA) aggregation operator to aggregate the decision makers’ judgments instead of the typical averaging method. The applicability of the proposed method is illustrated by a case study of the coastal erosion problem along the Peninsular Malaysia coastline, where 12 factors were considered. Three experts of coastal erosion from different organizations were invited to elicit their linguistic judgments on the cause–effect of the coastal erosion. The seven-step decision approach was developed to acquire the weightage of each coastal erosion factor. The outcome of this study reveals that coastal development is the riskiest factor toward coastal erosion. The weight of factors and the cause–effect diagram could be very helpful for government and stakeholders to project a better mitigation plan for the coastal erosion problem. Comparative analysis is also provided to check the feasibility of the proposed method.

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Section: Introductionsupporting

confidence: 79%

An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

2019

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“…When considering that the variation of attribute weights might influence the final ranking of alternatives [52], it is necessary to develop a new method for determining attribute weights based on the maximizing deviation method [53].…”

Section: Weight Of Attributesmentioning

confidence: 99%

Evaluate Air Pollution by Promethee Ranking in Yangtze River Delta of China

Chen

et al. 2020

IJERPH

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A series of problems that are related to population, resources, environment, and ecology have emerged in recent years with the advancement of industrialization and urbanization in China. Especially, air pollution has become a severe trouble that directly endangers the health of residents. Accordingly, it is a need to make the assessment of air quality among cities, so that corresponding measures can be taken. For this purpose, ten major cities are selected as the research objects in Yangtze River Delta. Additionally, this study gathers and processes the data of five main air pollutants PM2.5, PM10, SO2, O3, and NO2, respectively. Furthermore, the maximizing deviation method is used to obtain the respective weight of these pollutants and the preference ranking organization method for enrichment evaluations (PROMETHEE) is introduced into the assessment of air quality among ten cities. As a result, the ranking of air quality in Ningbo, Wenzhou, Shanghai, and Shaoxing was at the fore from 2014 to 2017. Meanwhile, the performance of Ningbo has always kept the top two and Shaoxing’s ranking has risen since 2015. In addition, the air quality of Changzhou, Suzhou and Hangzhou was at an average level in the past four years. Moreover, the performance of Nanjing, Wuxi, and Zhenjiang was terrible when compared to other cities. Some useful suggestions have been proposed to control air quality based on the ranking results.

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“…To overcome this limitation, Gou and Xu (2016) introduced novel operations of PLTSs by a linguistic scale function. Later, using this function, Mao et al (2019) introduced new operation laws and developed the GPLHWA operator and GPLHOWA operator based on Archimedean t-norms and s-norms. Zhang (2018) investigated the large group decision making and proposed a PL-WAA operator.…”

Section: Introductionmentioning

confidence: 99%

“…However, the calculation of this improved distance measure is very complex. Lately, Mao et al (2019) proposed a simple Euclidean distance measure by a linguistic scale function (Gou and Xu, 2016). Unfortunately, some counterintuitive results still appear based on this Euclidean distance, please see Table 2 in Section 3.2.…”

Section: Introductionmentioning

confidence: 99%

An Entropy-Based Method for Probabilistic Linguistic Group Decision Making and its Application of Selecting Car Sharing Platforms

Xu¹,

Wan²,

Dong³

2020

Informatica

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As the tourism and mobile internet develop, car sharing is becoming more and more popular. How to select an appropriate car sharing platform is an important issue to tourists. The car sharing platform selection can be regarded as a kind of multi-attribute group decision making (MAGDM) problems. The probabilistic linguistic term set (PLTS) is a powerful tool to express tourists' evaluations in the car sharing platform selection. This paper develops a probabilistic linguistic group decision making method for selecting a suitable car sharing platform. First, two aggregation operators of PLTSs are proposed. Subsequently, a fuzzy entropy and a hesitancy entropy of a PLTS are developed to measure the fuzziness and hesitancy of a PLTS, respectively. Combining the fuzzy entropy and hesitancy entropy, a total entropy of a PLTS is generated. Furthermore, a cross entropy between PLTSs is proposed as well. Using the total entropy and cross entropy, DMs' weights and attribute weights are determined, respectively. By defining preference functions with PLTSs, an improved PL-PROMETHEE approach is developed to rank alternatives. Thereby, a novel method is proposed for solving MAGDM with PLTSs. A car sharing platform selection is examined at length to show the application and superiority of the proposed method.

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A new method for probabilistic linguistic multi-attribute group decision making: Application to the selection of financial technologies

Cited by 125 publications

References 53 publications

An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

An Integrated Decision-Making Method Based on Neutrosophic Numbers for Investigating Factors of Coastal Erosion

Evaluate Air Pollution by Promethee Ranking in Yangtze River Delta of China

An Entropy-Based Method for Probabilistic Linguistic Group Decision Making and its Application of Selecting Car Sharing Platforms

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