2020
DOI: 10.3846/jbem.2020.13182
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INVESTMENT DECISION MAKING ALONG THE B&R USING CRITIC APPROACH IN PROBABILISTIC HESITANT FUZZY ENVIRONMENT

Abstract: The Belt and Road (B&R) Initiative receives enthusiastic response, the aim of which is to develop cooperative partnerships with countries along the routes and build a community of common destiny. So far, Chinese companies have invested in many different countries along the B&R. Generally, the investment decision making problems are characterized by high risk and uncertainty. Then how to make an appropriate investment decision will be a thorny issue. In this paper, probabilistic hesitant fuzzy … Show more

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Cited by 21 publications
(10 citation statements)
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“…One of the most relevant points to highlight is that most of the B companies operating in the tourism and social entrepreneurship sectors for decades demonstrate their compliance with the quality of their services, organizational climate and process quality [109,110]. In this sense, B certification is not in opposition to other pre-existing certifications [111][112][113].…”
Section: Discussionmentioning
confidence: 99%
“…One of the most relevant points to highlight is that most of the B companies operating in the tourism and social entrepreneurship sectors for decades demonstrate their compliance with the quality of their services, organizational climate and process quality [109,110]. In this sense, B certification is not in opposition to other pre-existing certifications [111][112][113].…”
Section: Discussionmentioning
confidence: 99%
“…Te weight of the evaluation indicator refects its importance to the research object to a certain extent. In the comprehensive evaluation of multiple indicators, diferent weighting methods will cause diferences in the evaluation results, so it is necessary to choose the weighting methods scientifcally and reasonably in combination based on the characteristics of the indicator and the research object [34]. As an objective weighting calculation model, the CRITIC method fully exploits the attributes of the indicator data, takes into account the variability within the indicators and the confict between the indicators to determine the objective weights, and the weighting results are more reliable and reasonable.…”
Section: Methodsmentioning
confidence: 99%
“…As an objective weighting calculation model, the CRITIC method fully exploits the attributes of the indicator data, takes into account the variability within the indicators and the confict between the indicators to determine the objective weights, and the weighting results are more reliable and reasonable. In the traditional CRITIC method, the variability of indicators is represented by standard deviation, and the larger the standard deviation of data, the stronger the variability is represented and the higher the weight is assigned; the confict of indicators is quantifed by the correlation coefcient, and the larger value of the correlation coefcient between indicators, the smaller the confict, and the more overlapping information the indicators contain, the lower the weight is assigned [34][35][36][37][38].…”
Section: Methodsmentioning
confidence: 99%
“…Liu et al. ( 2020b ) constructed an investment decision model based upon an improved distance measure and CRITIC method under probabilistic hesitant fuzzy environment. Afterwards, Wu et al.…”
Section: Related Workmentioning
confidence: 99%