基于模糊信息熵的环境管理过程控制能力

建立了环境管理过程的闭环过程控制系统模型,用模糊控制系统表达环境管理过程中的不确定性,分析了环境管理过程的控制能力,建立了过程控制能力函数。将信息熵引入模糊环境过程控制函数的参数识别,建立了环境管理过程度量方法。同时,建立了环境管理过程决策支持系统,以实现环境管理过程的参数识别和能力评估。     

模糊学与模糊美学的现状与未来

作为观察世界的基本方法之一 ,模糊学是针对事物的模糊性而产生的。它和精确方法并不冲突 ,而是各自都有自己的范围。从某种角度上说 ,模糊方法是精确方法的沿伸和补充。受模糊学方法启发而产生的模糊美学 ,不但对于美学 ,对其它人文社会科学无疑也有十分积极的影响 ,因为它出现的本身就具有不可忽视的方法论意义。作为一门新学科、自然还需要不断完善 ,还需要多种学科的通力协作     

Application of hybrid framework to facilitate lean six sigma implementation: a manufacturing company case experience

This study aims to propose a hybrid framework for lean six sigma (LSS) based on the prioritisation of barriers and solution approaches, to facilitate hassles free applications for handling the challenges of wastes reduction and quality improvement. The study identifies 27 LSS barriers and 22 solution approaches through literature review and utilises feedback from industry experts. For framework, study uses fuzzy AHP-PROMETHEE to prioritise LSS barriers and solution approaches. Incorporating fuzzy sets in analytical hierarchy process (AHP) ensures the optimality of barrier weights. Whereas, preference ranking organisation method for enrichment of evaluations (PROMETHEE) helps in pairwise comparisons of solution approaches with respect to each LSS barrier, facilitating fair judgements. This research guides regarding the development of framework and checks its suitability and robustness through case application of an Indian manufacturing organisation. Authors expect that researchers and practitioners will find study useful for LSS and multi criteria decision making(MCDM) domains.     

属性集容量确定的夹挤式测度模式及其推算模型

迄今,为解决多属性偏好关联决策属性集容量判断指数复杂性难题所提出的λ模糊测度模式与k-可加模糊测度模式,以及建构在它们之上的属性集容量确定的推算模型,尚存在着适用性差的技术不足。为此,以平衡容量判断的可操作性和容量推算的准确性为视角,提出了一种新容量测度模式,即关于容量判断与推算的夹挤式测度模式,并在此基础上通过引入决策者较易判断给出的容量序信息构建了相应的容量推算模型。基于数值模拟的对比分析表明：新模式不仅在应用可行性上高于k-可加模糊测度模式,而且从容量推算的准确性上看也明显优于λ模糊测度模式和k-可加模糊测度模式,因而对实际决策具有更强的适用性。     

基于犹豫模糊语言信息的前景决策方法

本文首先回顾了模糊信息下前景理论研究的现状,发现犹豫模糊语言这一决策中常见的信息表达形式在前景理论框架中的研究被忽略,同时犹豫模糊环境下的前景决策方法具有一定的应用背景;基于此,本文考虑到决策者在实际决策过程中惯用的信息表达以及面对收益和损失时不同的风险态度,试图在犹豫模糊语言环境下构造新的前景理论决策框架,建立基于犹豫模糊语言信息的前景决策方法,并给出具体的决策步骤;最后通过算例分析展示了该方法的实际应用过程,并与犹豫模糊语言环境下的期望效用决策结果进行对比,说明了该方法更符合实际决策情景。     

高校教师教学质量的多层次模糊综合评价模型及其应用

利用模糊数学建立了高校教师教学质量多层次模糊综合评价模型,并给出应用实例。     

Fuzzy epistemology: Decolonizing the social sciences

This article first argues that the social sciences need to be decolonized, as the current epistemologies and research methodologies are too narrowly based on the European and North American experiences and hence unable to adequately capture non-European experiences and realities. I then argue that decolonizing dominant social science epistemology means freeing it from its Aristotelian foundation. The next step undertaken is to discuss five non-Western epistemologies from West Africa, China, Melanesia, India, and South America. Building on the work of Jimi Adesina (2002), I find that all five share a fuzzy perception of reality, allowing for statements that are non-exclusive, non-discrete, and hence fuzzy. I propose an operationalization of these fuzzy epistemologies by applying Charles Ragin's Fuzzy Set Qualitative Comparative Analysis (fscqa).     

具有模糊旅行时间的VRP的一种混合遗传算法

传统确定性车辆路径问题是近几十年来运筹学领域研究的一个热点问题.但在许多实际的应用中,由于受客观世界中存在的不确定性因素以及人类观察、认识事物的模糊性的影响,车辆路径问题的某些参数可能是模糊的、不确定的.文中传统确定性车辆路径问题被扩展为具有模糊特征的模糊车辆路径问题.在对具有模糊旅行时间的车辆路径问题进行简单描述的基础上,构建了该问题的数学模型,并通过将模糊逻辑、模糊控制方法与传统车辆路径问题的遗传算法进行有效结合,提出了解决该问题的一种混合遗传算法.最后给出了该问题的一个计算实例,并通过随机模拟试验验证了该算法的有效性和优越性.     

西部民族地区民营企业基于模糊关系产权的行为分析

本文主要着眼于西部民族地区模糊关系产权相应的实证意义.探讨模糊关系产权作为西部民族地区民营企业应对环境的适应机制是怎样影响组织行为的,它有哪些独特的实证意义?笔者就模糊关系产权的广度、产权结构的持续时间和变动频率、决策权的集中程度、产权的正式结构与实际运行之间的差别,从获取资源的途径、企业的身份、制度环境三个方面来讨论模糊关系产权与西部民族地区民营企业行为之间的关系.     

Causal factor relations of supply chain competitiveness via fuzzy DEMATEL method for Thai automotive industry

Abstract

The automotive industry is complex and global. An automotive supply chain involves multiple manufacturers and service providers in different parts of the chain across different countries. Diffusion of the global production system creates both opportunities and challenges for the supply chain itself as well as production base countries. Thailand is a production base for over 15 automotive brands. The industry contributes significantly to the Thai economy and employs approximately half a million people. To address competitiveness of the Thai automotive industry, its supply chain is studied in this paper. Ten factors affecting the competitiveness of the Thai automotive supply chain are analysed through the fuzzy DEMATEL method. The method forms a structural model that categorises the causal or effect roles of the factors, and the degree at which they impact the supply chain. This study focuses on Tier 1 and Tier 2 manufacturers of the supply chain. The results reveal that there are three common causal factors and four common effects in both tiers. The other four factors play different roles in different tiers. Managerial implications relating to these factors are also discussed and certain recommendations proposed in order to enhance the competitiveness of the Thai automotive supply chain.