A fuzzy evaluation model of manufacturing machinery in terms of sustainable business

IF 1.2 Q4 BUSINESS
Simona Hašková, M. Vochozka, J. Kučera
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引用次数: 0

Abstract

. The inclusion of sustainability criteria in the investment decision processes requires application of tools that consider the vague nature of sustainable characteristics. Fuzzy approach can process the vagueness of sustainability measures. The aim of the paper is to develop a suitable model of the fuzzy assessment of investment alternatives measured by Sustainability Utility Index. Its scheme is described methodologically as a three-stage system of multi-criteria ex-ante evaluation. An algorithmic conception of the system is performed at its third stage by a “fuzzy processor”. The fuzzy model is applied to the task of the optimal type of building machinery selection in view of the cost and sustainable criteria. The results enable the manager to optimize his/her decision, who aims to minimize the investment and operation costs of the building machinery. Compared to the fuzzy approach based on Mandani´s system, our model avoids several complications associated with the semantics of fuzzy implications in various fuzzy logics, it is more user friendly and easily algorithmized. This model is thus suitable to apply not only in corporate sphere but also in areas of ecology, sociology, economics. The limits of the fuzzy system are twofold - on the general level the fuzzy systems lack the ability to learn and memorize; determining or tuning a suitable membership function and fuzzy rules is not always clear. The challenge is first to test the model in the corporate sphere and second to acquaint potential users with this computationally undemanding fuzzy procedure.
基于可持续经营的制造机械模糊评价模型
.要在投资决策过程中纳入可持续性标准,就需要应用考虑到可持续性特征模糊性的工具。模糊方法可以处理可持续性措施的模糊性。本文的目的是建立一个合适的以可持续性效用指数衡量的投资方案模糊评估模型。其方案在方法论上被描述为一个多标准事前评估的三阶段系统。系统的算法概念在第三阶段由“模糊处理器”执行。将模糊模型应用于考虑成本和可持续性标准的建筑机械选型优化任务。这些结果使经理能够优化他的/她的决策,目的是最大限度地降低建筑机械的投资和运营成本。与基于Mandani系统的模糊方法相比,我们的模型避免了各种模糊逻辑中与模糊蕴涵语义相关的一些复杂问题,更便于用户友好和算法化。因此,该模型不仅适用于企业领域,也适用于生态学、社会学和经济学领域。模糊系统的局限性是双重的——在一般层面上,模糊系统缺乏学习和记忆能力;确定或调整合适的隶属函数和模糊规则并不总是清楚的。挑战首先是在公司领域测试该模型,其次是让潜在用户熟悉这种计算要求不高的模糊程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
5.90%
发文量
80
审稿时长
20 weeks
期刊介绍: ENTREPRENEURSHIP AND SUSTAINABILITY ISSUES ISSN 2345-0282 (online) is a peer-reviewed scientific journal, serving as a platform to foster multi/interdisciplinary innovations that bring together the research communities and the end-users being affected. It is where theory meets practice, evident in the authors being experts across the industrial value chain – including business visionaries, regulatory and standards bodies, and especially pan-European networking through public and private sector partnerships (PPPs). Accepted papers present outcomes of initiatives and findings across all fields of science and technology, especially social sciences and humanities. Multi/interdisciplinary approach is encouraged. Recent additions to the already well-accomplished editorial board includes experts from the energy and information and communication technologies (ICT) sectors, particularly focused on advances to the state of the arts in environmental sustainability developments. This journal publishes original research papers that are rich with case studies of modern demonstrations, presenting innovative solutions to socio-economic and socio-technical problems that plague modern societies. It is a journal that is positioned as collaborative platform where theory meets practice, which is accomplished by publishing authors who’ve uncovered new linkages between data formulation and the underpinning theories, cases, observations, and validated hypotheses arising from the analysis of that data. ESI journal scope includes as well a particular focus on the business development side of smart electricity grids regarding financial or innovative technological aspects surrounding: renewable production, energy storage and management, construction materials, retrofitting, urban planning, and the trading of actors within emerging markets affected by energy supply and demand tradeoff.
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