Fuzzy Rasch model in TOPSIS: A new approach for generating fuzzy numbers to assess the competitiveness of the tourism industries in Asian countries

This study proposes a novel approach, the Fuzzy Rasch model, which combines Item Response Theory (IRT) and fuzzy set theory. This paper applies the Fuzzy Rasch model in Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to analyse the Tourism Destination Competitiveness (TDC) of nine Asian countries: China, Hong Kong, Japan, Korea, Malaysia, Singapore, Taiwan, Thailand and the Philippines. The study was conducted in 2009 using 6 criteria and 15 indices. The results demonstrate the feasibility of applying the Fuzzy Rasch model in TOPSIS to analyse TDC in Asian countries. In addition, the proposed model also provides an effective means of applying the MCDM method to study TDC. Furthermore, in 2009, the Asian countries were ranked from most to least competitive as follows: China, Japan, Hong Kong, Malaysia, Thailand, Singapore, Taiwan, Korea and the Philippines.     

Competency analysis of top managers in the Taiwanese hotel industry

The purpose of this study was to identify top managers’ competencies in hotel unit leaders perceived to be most critical for career development, and using the Fuzzy Delphi and Analytic Hierarchy Process methods to determine perceptions of the importance of various competencies in different dimensions. This study uses snowball sampling methods to collect data from 25 hotel top managers and uses qualitative and quantitative surveys, including interviews, questionnaire review and a questionnaire survey. A two-stage research design is adopted to understand the differences in perceived competency requirements better. The analytical results demonstrate the required competencies of top managers in the hotel industry, and divide them into generic and technical dimensions, 18 competency domains, and 107 competency indices. The top three most important competency domains are “leadership,” “crisis management,” and “problem-solving.” The proposed management competency framework provides an important implication for educators, practitioners, and researchers.     

Agility index in the supply chain

To achieve a competitive edge in the rapidly changing business environment, companies must align with suppliers and customers to streamline operations, as well as working together to achieve a level of agility beyond individual companies. Consequently, agile supply chains are the dominant competitive vehicles. Embracing agile supply chain requires asking some important questions, namely: what exactly is agility and how can it be measured? Moreover, how can agility be effectively achieved and enhanced? Due to the ambiguity of agility assessment, most measures are described subjectively using linguistic terms. Thus, this study develops a fuzzy agility index (FAI) based on agility providers using fuzzy logic. The FAI comprises attribute’ ratings and corresponding weights, and is aggregated by a fuzzy weighted average. To illustrate the efficacy of the method, this study also evaluates the supply chain agility of a Taiwanese company. This evaluation demonstrates that the method can provide analysts with more informative and reliable information for decision.     

Fuzzy measurement of income inequality: Some possibility results on the fuzzification of the lorenz ordering

Summary This paper starts from the premise that the concept of income inequality is ill-defined, and hence, it studies the measurement of income inequality from a fuzzy set theoretical point of view. It is argued that the standard (fuzzy) transitivity concepts are not compatible with fuzzy inequality orderings which respect Lorenz ordering. For instance, we show that there does not exist a max-min transitive fuzzy relation on a given income distribution space which ranks distributions unambiguously according to the Lorenz criterion whenever they can actually be ranked by it. Weakening the imposed transitivity concept, it is possible to escape from the noted impossibility theorems. We introduce some alternative transitivity concepts for fuzzy relations, and subsequently, construct a class of fuzzy orderings which preserve Lorenz ordering and satisfy these alternative transitivities. It is also shown that fuzzy measurement can be used to construct confidence intervals for the crisp conclusions of inequality indices.I wish to thank Ashish Banerjee, Kaushik Basu, Larry Blume, Gary Fields, Semih Koray, Tapan Mitra, Antony Shorrocks, Sinan Unur and two anonymous referees of this journal for insighthul comments and suggestions. I am also grateful to the participants of the 1993 Midwest Mathematical Economics Conference held in University of Wisconsin at Madison and the 2nd International Meeting of the Society for Social Choice and Welfare held in University of Rochester.     

Applying fuzzy quality function deployment (QFD) to identify solutions of service delivery system for port of Kaohsiung

The main purpose of this paper is to apply fuzzy quality function deployment (QFD) model to identify solutions of service delivery system (SDS) for port of Kaohsiung from the viewpoints of customers. At first, to facilitate the main issue of the QFD problem, however, the ‘what’ question of customer needs and ‘how’ problem of the services have to be made, which are two major components and be emphasized on the house of quality (HOQ) matrices. In conjunction with fuzzy sets theory, hence, the systematic procedures using fuzzy QFD were proposed in this paper. Subsequently, a case study for port of Kaohsiung demonstrated the systematic appraisal process for identifying solutions of SDS. The results of empirical study show that (1) 10 key factors are deemed as to have priority to improve the quality of SDS for Kaohsiung port; and (2) eight feasible solutions for improving service quality performance are identified. Moreover, it is suggested that port Authority of Kaohsiung should listen attentively the voice of customers and emphasize on exploiting these customer requirements effectively. And then develop the ‘how’ issues of profiles of solutions, which should continuously strengthen the perspectives of customer, internal business process, and learning and growth, respectively.     

数字技术应用情境下如何提升企业创新效应? 协同自发抑或协同响应

数字技术能够对组织协同创新活动以及数字经营环境产生差异化影响,重塑企业创新效应形成机制与实践路径。因此,深入探究数字技术与组织、环境间的联动交互及组态匹配关系对特质各异的企业协同创新路径研究具有重要意义。基于协同视角构建数字技术应用情境下的TOE分析框架,通过对64家数字密集型企业进行模糊集定性比较分析,结果表明：组织与数字技术在多主体协同过程中的交互方式主要分为协同自发与协同响应,具体包含4种组态类型。协同自发方式主要包括以高层次人才为主导的人才驱动型与以组织开放度为主导的文化引领型;协同响应方式主要包括以地区经济发展水平为主导的需求推动型与以政府注意力分配为主导的政策拉动型。结论能够为解释企业创新应用数字技术提供新的理论视角,为不同技术条件与资源禀赋的企业提供针对性协同策略,为我国协同创新实践提供新的优化路径,为推动数字经济高质量发展提供新的指导方向。     

A review of the extensions of a modified EOQ model for imperfect quality items

Imperfect items in the raw material and production stages of a supply chain directly impact the coordination of the product flow within a supply chain. In response to this concern, production and inventory lot sizing models, which incorporate imperfect items into their formulation have become an important and growing area of research. The contribution of Salameh and Jaber (2000) is one of the fundamental models on lot sizing when procured items are of imperfect quality. Over the past decade, there has been a noticeable amount of interest in the EOQ model for imperfect items that was set forth in Salameh and Jaber (2000). Several researchers have published adaptations and extensions of this original model that address supply chain coordination, quality improvement and yield management, and the impact of human error on production and inventory systems. In this paper, we summarize the current body of research that has extended the Salameh and Jaber (2000) EOQ model for imperfect items. Some possible future research directions are identified at the end of the paper.     

Fuzzy logic in manufacturing: A review of literature and a specialized application

Manufacturing decisions inherently face uncertainties and imprecision. Fuzzy logic, and tools based on fuzzy logic, allow for the inclusion of uncertainties and imperfect information in decision making models, making them well suited for manufacturing decisions. In this study, we first review the progression in the use of fuzzy tools in tackling different manufacturing issues during the past two decades. We then apply fuzzy linear programming to a less emphasized, but important issue in manufacturing, namely that of product mix prioritization. The proposed algorithm, based on linear programming with fuzzy constraints and integer variables, provides several advantages to existing algorithm as it carries increased ease in understanding, in use, and provides flexibility in its application.     

基于模糊评价法的宜居社区评价研究

在21世纪人本主义回归的思潮下,“宜居”成为城市发展的关键词,而社区在宜居城市建设中发挥着越来越重要的作用.探讨宜居社区的评价指标,目的在于基于地方尺度和居民视角,识别社区发展面临的关键问题,并在为社区规划提供参考依据.采取强调居民主观感受的模糊评价方法,在北京市交道口街道通过分层抽样的问卷调查获得数据.结果表明,社区...     

企业竞争力的AHP-Fuzzy评价及诊断

建立了评价企业竞争力的指标体系,并把综合评价的两种重要方法AHP和Fuzzy数学法结合起来运用,进行多级综合评价,然后对评价结果进行诊断。最后利用一个仿真算例说明了该方法的有效性。