模糊语言的独特功能

本文对模糊语言的独特功能从日常生活、文学作品、科学医学三方面进行了探讨 ,从而阐明在自然语言中 ,模糊语言是绝对的、普遍的。语言的模糊性缘于客观事物本身的模糊性及人们对客观世界认识的不确定性。     

Capitalizing the Crisis? Explanatory Factors for the Design of Short‐time Work across Organisation for Economic Co‐operation and Development Countries

This article looks at the financial and economic crisis 2008–10 in 18 Organisation for Economic Co‐operation and Development states and seeks to investigate explanatory paths for the subsidization of further education within short‐time work programmes. Several hypotheses are put to the test: first, a classical partisan difference argument; second, a varieties of capitalism approach proposing a successful joint rallying of employers and employees for subsidization in coordinated market economies; and, lastly, the merged hypothesis that right‐wing parties in a coordinated economic context might subsidize feeling the pressure to overcompensate an ‘issue ownership’ of left parties in the field of employee‐friendly policies. We identify four explanatory paths: coordinated economies in the sample subsidized when they were economically closed or highly indebted. The results also support our combined hypothesis, that New Zealand – a left‐governed liberal market economy – and right‐governed coordinated market economies of the non‐Scandinavian type subsidized.     

Letter to The Editor: Sigsearch: A New Term for Post Hoc Unplanned Search for Statistically Significant Relationships with The Intent to Create Publishable Findings

Post-hoc secondary data analysis with no prespecified hypotheses has been discouraged by textbook authors and journal editors alike. Unfortunately no single term describes this phenomenon succinctly. I would like to coin the term “sigsearch” to define this practice and bring it within the teaching lexicon of statistics courses. Sigsearch would include any unplanned, post-hoc search for statistical significance using multiple comparisons of subgroups. It would also include data analysis with outcomes other than the prespecified primary outcome measure of a study as well as secondary data analyses of earlier research.     

基于产业链视角的物联网产业发展策略研究

物联网(IOT)作为新一代的信息技术,被认为是继计算机和互联网之后世界信息产业发展的第三次浪潮,是未来推动世界经济增长的重点新兴产业之一。为了全面、系统地认识物联网产业,更好地指导和推动物联网产业实践的发展,有必要以产业的视角,对物联网产业链的基本结构、影响产业链发展的关键环节进行深入研究,寻找物联网产业发展的关键点。通过对物联网体系结构的分析,发现我国物联网产业链主要由传感器/芯片制造商、软件提供商、物联网平台提供商、系统集成商、应用服务提供商、网络服务提供商、运营服务提供商和用户等环节构成,进一步运用模糊德尔菲法,得出用户和传感器/芯片制造商是我国物联网产业发展的关键环节,并据此提出了相关政策建议。     

Human Factors Analysis for Maritime Accidents Based on a Dynamic Fuzzy Bayesian Network

Human factors are widely regarded to be highly contributing factors to maritime accident prevention system failures. The conventional methods for human factor assessment, especially quantitative techniques, such as fault trees and bow-ties, are static and cannot deal with models with uncertainty, which limits their application to human factors risk analysis. To alleviate these drawbacks, in the present study, a new human factor analysis framework called multidimensional analysis model of accident causes (MAMAC) is introduced. MAMAC combines the human factors analysis and classification system and business process management. In addition, intuitionistic fuzzy set theory and Bayesian Network are integrated into MAMAC to form a comprehensive dynamic human factors analysis model characterized by flexibility and uncertainty handling. The proposed model is tested on maritime accident scenarios from a sand carrier accident database in China to investigate the human factors involved, and the top 10 most highly contributing primary events associated with the human factors leading to sand carrier accidents are identified. According to the results of this study, direct human factors, classified as unsafe acts, are not a focus for maritime investigators and scholars. Meanwhile, unsafe preconditions and unsafe supervision are listed as the top two considerations for human factors analysis, especially for supervision failures of shipping companies and ship owners. Moreover, potential safety countermeasures for the most highly contributing human factors are proposed in this article. Finally, an application of the proposed model verifies its advantages in calculating the failure probability of accidents induced by human factors.     

余热利用项目的模糊综合评价

对余热利用项目的评价,应是综合性的多目标评价。本文运用模糊集合论,井综合运用系统工程、计算机科学等领域的理论和技术,提出一套余热利用综合评价指标体系,建立了模糊综合评价数学模型和相应的计算机评价软件。在对实际的余热利用项目的应用中,收到了良好的效果。     

Utilizing fuzzy compatibility of skill sets for team selection in multi-phase projects

In this paper, a model is developed for the selection of personnel for a multiple phase project which takes into account the match between the skills possessed by each individual, the skills needed for each phase, and rather flexible budget considerations. The algorithm uses the fuzzy construct of compatibility to measure the fit of a person’s skill set to the goal set for each project phase. Based on the individual fuzzy compatibility measures, the team is formed from combined levels of compatibility and acceptable levels of quality defined for the goal set. 1 and 2 present the background information necessary to an understanding of project management phases and compatibility of skills. The development of the model and subsequent algorithm in 3 and 4, respectively rely on fuzzy measures of compatibility. Finally, an application is presented in Section 4 with conclusions stated in Section 5.     

Fuzzy quality-team formation for value added auditing: A case study

Value-added (quality) auditing is emerging as one of the most powerful tools for continuous quality improvement, with the introduction of the ISO 9001:2000 and ISO 19011 standards that focus team-based audits, proper auditor skills, process auditing, and effectiveness, etc. Formation of an effective quality audit team (QAT) based on the required auditor skills is therefore the initial stage of the value added auditing. QATs audit organizations at different locations with varying auditing requirements in order to evaluate an organization's own quality system (first party part audits according to IEC9001 Clause 8.2.2). The QAT consists of a lead auditor and one or more auditors that have the required skills in varying levels for the execution of an audit. For a successful audit, the formation of a QAT is vital since each audit team must at least fulfill the minimum requirements and skills needed for a specific audit. In this case study, a fuzzy mathematical-programming model and a solution algorithm based on “simulated annealing” is proposed for the formation of QATs. This is one of the first attempts in the literature to form this kind of teams analytically. Example problems are also solved in the paper to present the application of the proposed approach.     

Interactive fuzzy goal programming for multi-objective transportation problems

This paper presents an interactive fuzzy goal programming approach to determine the preferred compromise solution for the multi-objective transportation problem. The proposed approach considers the imprecise nature of the input data by implementing the minimum operator and also assumes that each objective function has a fuzzy goal. The approach focuses on minimizing the worst upper bound to obtain an efficient solution which is close to the best lower bound of each objective function. The solution procedure controls the search direction via updating both the membership values and the aspiration levels. An important characteristic of the approach is that the decision maker's role is concentrated only in evaluating the efficient solution to limit the influences of his/her incomplete knowledge about the problem domain. In addition, the proposed approach can be applied to solve other multi-objective decision making problems. The performance of this solution approach is evaluated by comparing its results with that of the two existing methods in the literature.