A hybrid method for occupations selection in the bio-circular-green economy project of the national housing authority in Thailand

Busaba Phurksaphanrat, Saruntorn Panjavongroj
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引用次数: 2

Abstract

The National Housing Authority (NHA) in Thailand has developed a new project with the aim of sustainable development based on the Bio-Circular-Green (BCG) economy for improving the quality of life of people in the country. It not only provides houses to live in but also promotes income generation by choosing and promoting the appropriate occupations for the people. Choosing appropriate occupations within the BCG economy is a complex decision-making process, as there are likely to be many factors to consider for each community. To, address this challenge, a novel hybrid approach combining the Fuzzy Logarithmic Full Consistency Method (FUCOM-LF) and the Combined Compromise Solution (CoCoSo) is introduced. This hybrid method effectively evaluates the sustainability of different occupations and identifies appropriate occupations for the community by ensuring full consistency in weighing the relevant criteria and high-resolution discrimination of alternatives. The proposed comprehensive BCG occupation selection framework serves as a general framework for NHA that can be applied to any community. Additionally, this research provides a compilation of support guidelines for each occupation. Through a case study community, the practicality and effectiveness of the hybrid method and the proposed framework in selecting the appropriate occupations are demonstrated.
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泰国国家住房管理局生物循环绿色经济项目职业选择的混合方法
泰国国家住房管理局(NHA)开发了一个新项目,旨在基于生物循环绿色经济的可持续发展,以提高该国人民的生活质量。它不仅提供住房,而且通过选择和推广适合人民的职业来促进创收。在波士顿咨询公司的经济中选择合适的职业是一个复杂的决策过程,因为每个社区可能需要考虑许多因素。为了应对这一挑战,引入了一种新的混合方法,将模糊对数全一致性方法(FUCOM-LF)和组合折衷解决方案(CoCoSo)相结合。这种混合方法有效地评估了不同职业的可持续性,并通过确保权衡相关标准的完全一致性和对替代品的高分辨率歧视,为社区确定了合适的职业。拟议的BCG职业选择综合框架是NHA的通用框架,可应用于任何社区。此外,这项研究还为每个职业提供了支持指南汇编。通过一个案例研究社区,证明了混合方法和所提出的框架在选择合适职业方面的实用性和有效性。
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来源期刊
Decision Making Applications in Management and Engineering
Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences
CiteScore
14.40
自引率
0.00%
发文量
35
审稿时长
14 weeks
期刊最新文献
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