scholarly journals Fuzzy and Interval AHP Approaches in Sustainable Management for the Architectural Heritage in Smart Cities

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 304 ◽  
Author(s):  
Mimica R. Milošević ◽  
Dušan M. Milošević ◽  
Ana D. Stanojević ◽  
Dragan M. Stević ◽  
Dušan J. Simjanović
Keyword(s):  
Analytic Hierarchy Process ◽  
Smart City ◽  
Smart Cities ◽  
Practical Method ◽  
Architectural Heritage ◽  
City Development ◽  
Analytic Hierarchy ◽  
Linear Type ◽  
Triangular Numbers ◽  
Hierarchy Process

For the past four decades, the methodology of fuzzy analytic hierarchy process based on fuzzy trapezoidal or triangular numbers with the linear type of membership functions has witnessed an expanding development with applicability to a wide variety of areas, such as industry, environment, education, government, economics, engineering, health, and smart city leadership. On the other hand, the interval gray analytic hierarchy process is a more practical method when a significant number of professionals have large variations in preferences and interests in complex decisions. The paper examines the management of architectural heritage in smart cities, using methods of multi-criteria decision making. Two appropriate methods generally recommended by the scientific literature have been applied: fuzzy and interval grey analytic hierarchy process. By using both techniques, there is an opportunity to analyze the consensual results from the aspect of two different stakeholder groups: architectural heritage experts and smart city development experts. Trapezoidal fuzzy analytical hierarchical process shows better stability than a triangular one. Both approaches assign priority to the strategy, but the interval approach gives a more significant rank to architectural heritage factors. The similarity of the proposed methods has been tested, and the similarity factor in the ranking indicates a high degree of similarity in comparing the reference rankings.

scholarly journals A Study on Determinant Factors in Smart City Development: An Analytic Hierarchy Process Analysis

2018 ◽  
Vol 10 (8) ◽  
pp. 2606 ◽  
Author(s):  
Seunghwan Myeong ◽  
Yuseok Jung ◽  
Eunuk Lee
Keyword(s):  
Analytic Hierarchy Process ◽  
Smart City ◽  
Urban Policy ◽  
Industrial Revolution ◽  
Smart Cities ◽  
Process Analysis ◽  
City Development ◽  
Analytic Hierarchy ◽  
Internal Factors ◽  
Hierarchy Process

Today, there are many discussions and guidelines on the issue of smart cities (meaning cities that introduced smart technology) from the perspective of traditional urban policy. Smart city policies focusing on technology have been criticized for eliminating the different levels of factors that surround smart cities. When governments fail to consider different factors in implementing smart policies, they might not effectively provide quality services to citizens, because smart cities involve not only technical elements, but also the complex elements surrounding them (e.g., the policy ecosystem and urban infrastructure). This exploratory study examines the determinants of smart cities and their priorities through an analytic hierarchy process analysis. In this study, the priority internal factors appeared in the order of citizen involvement, leadership, and infrastructure, and the priority external factors took the order of political will, stakeholders, and the fourth Industrial Revolution. In addition, this study shows that the presence of communication channels, public hearings, and direct stakeholders is important for analyzing each sub-factor.

scholarly journals Extended Fuzzy Analytic Hierarchy Process (E-FAHP): A General Approach

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 2014 ◽  
Author(s):  
Javier Reig-Mullor ◽  
David Pla-Santamaria ◽  
Ana Garcia-Bernabeu
Keyword(s):  
Analytic Hierarchy Process ◽  
Fuzzy Numbers ◽  
Fuzzy Analytic Hierarchy Process ◽  
Membership Functions ◽  
Analytic Hierarchy ◽  
Linear Type ◽  
Triangular Numbers ◽  
Linear And Nonlinear ◽  
Hierarchy Process

Fuzzy analytic hierarchy process (FAHP) methodologies have witnessed a growing development from the late 1980s until now, and countless FAHP based applications have been published in many fields including economics, finance, environment or engineering. In this context, the FAHP methodologies have been generally restricted to fuzzy numbers with linear type of membership functions (triangular numbers—TN—and trapezoidal numbers—TrN). This paper proposes an extended FAHP model (E-FAHP) where pairwise fuzzy comparison matrices are represented by a special type of fuzzy numbers referred to as (m,n)-trapezoidal numbers (TrN (m,n)) with nonlinear membership functions. It is then demonstrated that there are a significant number of FAHP approaches that can be reduced to the proposed E-FAHP structure. A comparative analysis of E-FAHP and Mikhailov’s model is illustrated with a case study showing that E-FAHP includes linear and nonlinear fuzzy numbers.

scholarly journals Smart City Governance Evaluation in the Era of Internet of Things: An Empirical Analysis of Jiangsu, China

2021 ◽  
Vol 13 (24) ◽  
pp. 13606
Author(s):  
Wei-Ling Hsu ◽  
Miao Qiao ◽  
Haiying Xu ◽  
Chunmei Zhang ◽  
Hsin-Lung Liu ◽  
...  
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Rapid Development ◽  
Research Area ◽  
Evaluation Framework ◽  
Decision Makers ◽  
Three Dimensions ◽  
Analytic Hierarchy ◽  
New Research ◽  
Hierarchy Process

With the rapid development of smart cities all over the world, the evaluation of the smart city has become a new research hotspot in the academic circles. Nevertheless, there still exist a series of common problems in current smart city evaluation, including the cognitive deprivation, lack of experience in planning, low coordination level, etc. Therefore, it is critical to establish a new hierarchy for smart city evaluation indicators, especially in the 5G era. Based on literature review, expert consensus, and the fuzzy analytic hierarchy process, this study developed an innovative smart city evaluation framework. In the framework, an index comprising three dimensions, i.e., smart economy, smart society, and smart environmental protection, as well as several attributes for these dimensions for smart city evaluation were established. Then, taking Jiangsu Province, the fastest-growing province in China, as the research area, the development level of smart city for the cities in Jiangsu was calculated. The results have verified the effectiveness of the framework, which can provide suggestions for sustainable urbanization, and help urban decision-makers to promote the efficient development of smart cities.

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