Ecological System of Lingnan Ancient Villages Based on Database Construction
Issue:
Volume 6, Issue 4, December 2022
Pages:
81-85
Received:
5 July 2022
Accepted:
1 August 2022
Published:
28 October 2022
DOI:
10.11648/j.ajist.20220604.11
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Views:
Abstract: The severe destruction of traditional villages has become a social problem, and this problem must be solved immediately in the context of rapid urbanization in China. As the millennium crystallization of the agricultural culture of various countries, the traditional village has a unique humanistic and natural landscape, with extremely high historical, cultural and economic value, and is an important link in the construction of the ecological culture of various countries. The purpose of this work is to study the ecosystem of Lingnan ancient villages based on the database. This research completely uses bibliographic data method, expert interview method, questionnaire survey method and decision analysis method. From the perspective of the laws of ancient sustainable rural ecosystems, according to the characteristics of modern rural development, the current problems are summarized, the existing problems, their causes, and solutions are proposed, namely, to build an ancient rural ecosystem with a database. This work analyzed in detail the ecosystem of the ancient villages in Lingnan, collected relevant parameters, and created a digital model of the ecosystem of the ancient villages in Lingnan. Combining the factors that affect the construction process of the ancient village ecosystem in Lingnan, it quantitatively translates it into computer language, formulates iteration stopping conditions, and then uses the database platform to establish a multi-factor system to perform its ancient quantitative optimization model. On this basis, the huge database resource utilization rate has increased the scientific utilization rate of nearly 50% of the ancient village ecosystem in Lingnan.
Abstract: The severe destruction of traditional villages has become a social problem, and this problem must be solved immediately in the context of rapid urbanization in China. As the millennium crystallization of the agricultural culture of various countries, the traditional village has a unique humanistic and natural landscape, with extremely high historic...
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A Method for Revising the Potential Inconsistent Elements in an Intuitionistic Fuzzy Preference Relation
Hyonil Oh,
Jongjin Un,
Jongtae Kang,
Cholho Ri
Issue:
Volume 6, Issue 4, December 2022
Pages:
86-97
Received:
1 November 2022
Accepted:
8 December 2022
Published:
27 December 2022
DOI:
10.11648/j.ajist.20220604.12
Downloads:
Views:
Abstract: In this paper, we propose a method that can improve a multiplicative inconsistency by revising the potential inconsistent elements of an intuitionistic fuzzy preference relation (IFPR) without constructing a multiplicative consistent IFPR. After converting the given IFPR into a positive reciprocal matrix based on multiplicative consistency, the necessary and sufficient conditions for the IFPR to be multiplicative consistent or inconsistent put forward. A symmetric deviation matrix that can take accurate measurement of consistency bias of every element in an IFPR is constructed. Which of elements in the IFPR corresponding to the largest bias in the deviation matrix are really inconsistent, is verified by a bias verifying vector and a new method of eliminating alternatives, and are uniquely determined by using the fact that all the determinacy degrees of the IFPR remain constant in the revising process. The proposed method can preserve most information of the original IFPR as well as need a few operations in comparison with previous methods because they require to calculate underlying priority weights of alternatives based on a model. Meanwhile an associated example is offered to show the correctness and efficiency of the proposed method.
Abstract: In this paper, we propose a method that can improve a multiplicative inconsistency by revising the potential inconsistent elements of an intuitionistic fuzzy preference relation (IFPR) without constructing a multiplicative consistent IFPR. After converting the given IFPR into a positive reciprocal matrix based on multiplicative consistency, the nec...
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