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关键词： Sustainable supplier selection   Intuitionistic linguistic rough number   MULTIMOORA   Borda rule  

摘要： Due to the increasing awareness of environmental and social issues, sustainable supplier selection (SSS) becomes an important problem. In order to scientifically evaluation the SSS, the aim of this paper is to develop a novel SSS method considering the robustness and relationship among experts. Firstly, a novel concept of intuitionistic linguistic rough numbers (ILRNs) is proposed to accurately express the opinions of expert groups for SSS and to consider the interactive relationship among experts. Then we present a process to construct ILRNs and introduce the arithmetic operations, distance measure, correlation measure, ranking rules, aggregation operators, and some corresponding properties. In addition, based on the correlation coefficients between attributes, we introduce a weight determining method. Moreover, considering the robustness of the ranking method, the multiplicative Multi-objective Optimization by Ratio Analysis (MULTIMOORA) is enhanced by developing a new aggregated model and the improved Borda rule, which can consider both the subordinate utility values and ranks, and an intuitionistic linguistic MULTIMOORA method and an intuitionistic linguistic rough MULTIMOORA method are developed respectively. Finally, a real case of a shared power bank SSS is conducted to illustrate the application of the proposed method, and a comparison is performed to explain the superiority and feasibility of the proposed method. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Structural topic modelling   Growth-vs-environment debate   Public opinion   Scientific opinion   Green growth  

摘要： The debate about the relationship between economic growth and environmental sustainability triggers a range of associations. Here we analyze open-ended textual responses of citizens and scientists concerning their associations with the terms "economic growth" and "green growth". We derive from the responses a number of topics and examine how associations differ across distinct opinion segments of people, namely supporters of Green growth, Agrowth and Degrowth. The results indicate that the general public is more critical of the notion of economic growth than academic researchers. Citizens stress problems of corruption, social inequality, unemployment and poverty, with less variation among the three opinion segments compared to scientists. The latter more strongly emphasize the environmental consequences of economic growth. Concerning associations of scientists with the term "green growth", we find topics questioning its feasibility to be more likely expressed by Degrowth supporters, while topics stressing the possibility of sustainable economic growth by Green growth supporters. We find that topic polarization is stronger for scientists than citizens. Our results provide further validation for opinion clusters identified in previous studies and uncover additional insights about related views on growth and sustainability.

摘要： The current study investigated advanced L2 learners' linguistic development before, during, and after a nine-month stay abroad, the extent to which contextual changes (home-abroad-home) influenced the nature and magnitude of development, and the ways in which relationships among different linguistic elements changed over time. Participants were 56 university learners majoring in French (n=29) and Spanish (n=27), who spent an academic year abroad in the middle of a four-year BA degree programme. Oral data were collected six times over 21months to trace development and change in complexity, accuracy, fluency, and lexis. Results showed ongoing improvements over time on most measures, including accuracy. Correlations indicated long-term relationships between fluency and vocabulary only and that accuracy-complexity relationships emerged in instructed home contexts only. These findings suggest that the affordances of home and abroad contexts can shape learners' linguistic development and use differently. The role of pre-departure linguistic ability is discussed as critical to understanding the nature and extent of L2 linguistic development in study abroad.

关键词： LIWC   Decision making   Cancer   Gains   Losses   Framing   Prostate cancer   Active surveillance   Prospect theory   Health communication  

摘要： When discussing risks and benefits with cancer patients, physicians could focus on losses such as mortality rates and cancer recurrence or, alternatively, gains such as survival rates and curing cancer. Previous research has shown that the way health information is framed influences individuals' preferences and choices. We operationalized gain-loss framing as physicians' choice of words related to gains (cancer survival), or losses (cancer mortality). In an exploratory analysis, we investigated (a) whether physicians used gain or loss words as a function of their recommendation, (b) whether physicians' choice of words was associated with patients' treatment choices. We analyzed transcribed consultations with male patients who had intermediate-risk prostate cancer. Using an iterative process of gathering and evaluating words, we created gain- and loss-dictionaries. The loss-dictionary included words related to cancer death and cancer progression. The gain-dictionary included words related to survival and cure. Using Linguistic Inquiry and Word Count software, we calculated the number of words related to gains and losses in each transcript. We found that physicians who recommended immediate cancer treatment for prostate cancer (vs. active surveillance) used slightly fewer words related to losses and significantly fewer words related specifically to death from cancer. Further analysis showed that loss words were associated with the patient's choice of immediate cancer treatment. A novel method of automated text analysis showed that physicians' use of loss words was correlated with physicians' recommendations for cancer treatment versus active surveillance. Additionally, loss words in consultations were associated with patients' choice of cancer treatment.

关键词： 语言学   研究  

ISBN: (纸本)9787310060306

摘要： 本书借鉴和比较不同语言的示证范畴研究路径和模式，描写和解释示证共相与殊相，揭示语言类型学上的共性和个性，以及东亚地区语言示证的系统、模式等方面与其他语言示证的共相与殊相参数，同时也是对语言类型学、历史语言学、比较语言学、接触语言学等学科领域的理论贡献和相关语言事实支持。主要内容包括示证范畴研究梳理与其考察议题、汉语的“示证范畴”与相关研究、吴语余姚方言的示证策略、玛丽玛萨话的示证范畴、东纳藏语的示证及相关范畴、龙溪羌语的示证范畴、遮放载瓦语的示证系统与示证策略、现代日语的示证系统等。

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关键词： Double hierarchy hesitant fuzzy linguistic term set   Dempster-Shafer evidence theory   Best-worst method   Multi-criteria decision-making   Weight-determination method  

摘要： Double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) is a newly developed complex linguistic expression model, and has been well applied to multi-criteria decision-making (MCDM) problems. However, the determination of criteria weights and the innovation of decision-making methods are still two issues that worth exploring in this field. At present, conventional weight-determination methods sometimes have the disadvantages of complicated calculation and low consistency of the obtained results. On the other hand, the existing methods for linguistic information sometimes cannot consider the uncertainty of information caused by ignorance. Considering that the best-worst method (BWM) is a weight-determination method, which can not only greatly simplify the calculation process, but also improve the consistency degree of the results. Dempster-Shafer evidence theory (DSET) can better deal with information uncertainty caused by ignorance. Therefore, this paper extends the BWM and DSET to double hierarchy hesitant fuzzy linguistic environment to solve the above two problems respectively, and the DHHFL-BWM-DSET method is proposed. First, the weight of each criterion is derived based on the BWM-based weight-determination method. Then, inspired by DSET, we propose a DSET-based MCDM method which can not only obtain the decision results of a single decision maker, but also integrate the decision information of multiple decision makers to obtain more rational results. Therefore, decision makers can choose the method based on the specific situation. Finally, taking the selection of financial products as an example, it shows that the method proposed in this paper has some breakthroughs and advantages.

关键词： convergence theorem   fuzzy logic   hedge algebra   linguistic variable  

摘要： In this article, we introduce a method for reasoning with words based on hedge algebra using linguistic cognitive map. Our model consists of set of vertices and edges with value to be linguistic variables which are constrained by linguistic lattice. We figure out relationship between numeric and linguistic domain for fuzzifying data. We also prove convergence theorem on learning method for linguistic cognitive map.