Evaluating Visual Satisfaction in Urban Sculpture Spaces: A Multi-Criteria Decision Making Approach

The assessment of visual satisfaction in urban sculpture spaces has emerged as a topic of paramount interest due to the increased emphasis given to aesthetic quality and the general quality of urban environments. Such an evaluation usually entails making qualitative observations on items such as public art installations and sculptures, meaning findings need to comprise multiple perspectives and choices. To this end, a clear and comprehensive decision support model is required that adequately weighs the concerns of style in relationship to the environment and culture. Hence, this paper proposes the disc interval-valued fermatean fuzzy set (D-IVFFS) based decision-making framework for evaluating the MCDM problems associated with uncertainties in urban sculptures. D-IVFFS improves the decision making flexibility due to better quantification of uncertainties and impreciseness in comparison with conventional fuzzy systems. Due to the combination of interval-valued fuzzy logic with disc geometry, D-IVFFS offers a form of more flexible, efficient, and accurate approach for managing uncertainty than F-sets. It is integrated with the Complex Proportional Assessment (COPRAS) method for increasing the effectiveness of evaluation and ranking of options in benefit-cost context. The proposed framework can provide stable and reliable decision results even if the decision makers are in different levels of uncertainty. The real-life problems are illustrated in the twelve case studies, which prove the cogency and versatility of the D-IVFFS-COPRAS method as a certain, useful solution to various decision-making issues.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3528258
Citations
1
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
3.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating Visual Satisfaction in Urban Sculpture Spaces: A Multi-Criteria Decision Making Approach

D H Zou, Pan Li-ping
1 citations
IEEE Access
Digital Media and Visual Art
3.54
article

Evaluating Visual Satisfaction in Urban Sculpture Spaces: A Multi-Criteria Decision Making Approach

D H Zou, Pan Li-ping
article en
1 citations

Abstract

The assessment of visual satisfaction in urban sculpture spaces has emerged as a topic of paramount interest due to the increased emphasis given to aesthetic quality and the general quality of urban environments. Such an evaluation usually entails making qualitative observations on items such as public art installations and sculptures, meaning findings need to comprise multiple perspectives and choices. To this end, a clear and comprehensive decision support model is required that adequately weighs the concerns of style in relationship to the environment and culture. Hence, this paper proposes the disc interval-valued fermatean fuzzy set (D-IVFFS) based decision-making framework for evaluating the MCDM problems associated with uncertainties in urban sculptures. D-IVFFS improves the decision making flexibility due to better quantification of uncertainties and impreciseness in comparison with conventional fuzzy systems. Due to the combination of interval-valued fuzzy logic with disc geometry, D-IVFFS offers a form of more flexible, efficient, and accurate approach for managing uncertainty than F-sets. It is integrated with the Complex Proportional Assessment (COPRAS) method for increasing the effectiveness of evaluation and ranking of options in benefit-cost context. The proposed framework can provide stable and reliable decision results even if the decision makers are in different levels of uncertainty. The real-life problems are illustrated in the twelve case studies, which prove the cogency and versatility of the D-IVFFS-COPRAS method as a certain, useful solution to various decision-making issues.

IEEE AccessVol. 13
Beihua University (CN)
Sustainable cities and communities
Openalex Percentile: Top 12%
Digital Media and Visual Art
3.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluating Visual Satisfaction in Urban Sculpture Spaces: A Multi-Criteria Decision Making Approach — D H Zou, Pan Li-ping · IEEE Access (2025) | TGRS Research Map | TGRS