Participatory evaluation of cultural heritage adaptive reuse interventions in the circular economy perspective: A case study of historic buildings in Salerno (Italy)

Journal of Urban Management, Journal Year: 2024, Volume and Issue: 13(1), P. 107 - 139

Published: Jan. 6, 2024

Adaptive reuse of cultural heritage can be a valid strategy to recover buildings in state abandonment or underuse, as well implement the circular economy model cities and regions, contributing achievement climate objectives, social cohesion, wellbeing quality life, making more attractive, safe, sustainable resilient. The aim this paper is develop test an ex-ante evaluation methodology support participatory decision-making processes for adaptive according perspective. A multidimensional multicriteria framework was experimented city Salerno, Italy, assess alternative solutions four large historic abandonment, identify satisfying solution based on interactions with local stakeholders. TOPSIS (Technique Order Preference by Similarity Ideal Solution) multi-criteria method used compare project alternatives including stakeholder objectives preferences. Starting from 14 proposals, participative supported stakeholders identification 4 preferable further developed co-designed, search final engaging diverse groups. Moreover, operational circularity criteria were identified. results study show potential Multi-Criteria Decision Analysis (MCDA) mixed methods co-design co-evaluation inclusive heritage.

Language: Английский

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Introducing a Novel multi-criteria Ranking of Alternatives with Weights of Criterion (RAWEC) model

MethodsX, Journal Year: 2024, Volume and Issue: 12, P. 102628 - 102628

Published: Feb. 22, 2024

Optimal selection of agricultural distribution center location significantly impact the industry's growth and regional development, as they enhance product accessibility for customers streamline delivery suppliers. Research presented in this paper focuses on locations needs an using a new method multi-criteria decision making (MCDM), referred Ranking Alternatives with Weights Criterion (RAWEC) method. On real-world example, Brčko District Bosnia Herzegovina was evaluated potential sites formation center. The Logarithm Methodology Additive (LMAW) employed to calculate criterion weights, while were ranked novel RAWEC Additional analyses, including result validation, dynamic matrix sensitivity analysis validated use problem ranking alternatives by demonstrating that order obtained is consistent constant. Furthermore, simplicity small number steps distinguished it from other MCDM methods.

Language: Английский

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Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e26997 - e26997

Published: March 1, 2024

The COVID-19 pandemic has caused a surge in essential medical supplies usage, leading to notable increase waste generation. Consequently, extensive research focused on sustainable disposal methods handle used equipment safely. Given the necessity evaluate these considering qualitative and quantitative criteria, this falls within realm of multi-criteria decision-making (MCDM). This study introduces framework for selecting most suitable treatment methods, taking into account economic, technological, environmental, social aspects. Sixteen criteria were assessed using Fuzzy Preference Selection Index (F-PSI) determine optimal approach. Additionally, Compromise Ranking Alternatives from Distance Ideal Solution (F-CRADIS) method was employed nine technologies disposal. Notably, disinfection efficiency emerged as crucial criterion, with autoclaving identified preferred treatment. A practical case conducted Sivas, Turkey, validates feasibility strategies. Multiple sensitivity analyses performed ensure stability reliability proposed

Language: Английский

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A novel fuzzy multi-criteria decision-making for enhancing the management of medical waste generated during the coronavirus pandemic

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 133, P. 108465 - 108465

Published: May 3, 2024

The coronavirus pandemic significantly increased the use of essential medical supplies, resulting in a surge waste generation. This has spurred extensive research into sustainable disposal methods for safe and environmentally responsible equipment management. Addressing this multifaceted issue falls within domain multi-criteria decision-making. study presents comprehensive framework selecting optimal treatment methods, considering economic, technological, environmental, social factors. is first to address problem technology using Fuzzy Dombi Bonferroni. mean operator combine expert opinions, fuzzy preference selection index method evaluate criteria compromise ranking alternatives from distance ideal solution rank alternatives. According weightings, dimension holds highest significance at 0.3217. Disinfection efficiency ranks as most critical criterion, weighing 0.0823. autoclave rated top technique, with utility function value 5.4579. Sensitivity analyses ensured stability reliability models. adaptability applied model practices such energy conversion, material recycling, resource recovery represents an aspect policymaking assessment can guide policy formulation or improvement processes disposal.

Language: Английский

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Systematic review of software engineering uses of multi-criteria decision-making methods: Trends, bibliographic analysis, challenges, recommendations, and future directions

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 163, P. 111859 - 111859

Published: June 19, 2024

Language: Английский

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Inaccuracies in Expert Judgment: Comparative Analysis of RANCOM and AHP Methods in Housing Location Selection Problem

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 142083 - 142100

Published: Jan. 1, 2024

Language: Английский

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Sentiment analysis for stock market research: A bibliometric study

Natural Language Processing Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100125 - 100125

Published: Jan. 1, 2025

Language: Английский

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Fostering sustainable urban mobility via stakeholder engagement: A novel analytic hierarchy process and half-quadratic programming

Research in Transportation Business & Management, Journal Year: 2025, Volume and Issue: 59, P. 101291 - 101291

Published: Jan. 15, 2025

Language: Английский

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Enhancing energy resilience in enterprises: a multi-criteria approach

Sustainable Energy Research, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 31, 2025

Unreliable energy supply disrupts productivity and escalates costs in manufacturing enterprises, highlighting the need for robust resilience strategies. Existing multi-criteria decision-making (MCDM) methods, such as analytic hierarchy process (AHP), best–worst method (BWM), unaugmented TOPSIS, often lack advanced risk prioritization objective criteria weighting, limiting their effectiveness addressing complex, multidimensional challenges. This study proposes an integrated framework that combines Failure Mode Effects Analysis (FMEA) prioritization, CRITIC-method weighting based on 4A's dimensions—availability, accessibility, affordability, acceptability—and fuzzy-TOPSIS strategy ranking. The bridges theoretical rigor with operational applicability, unique challenges faced by enterprises. Validated through a real-world case sensitivity analysis, it identifies actionable strategies, flexible scheduling, demonstrating consistent rankings across comparative analyses fuzzy VIKOR, WASPAS, MARCOS. sector-specific approach advances both academic understanding industrial practice providing scalable, tool enhancing resilience. presents integrating FMEA, CRITIC-method, within to address It prioritizes risk, provides ranks strategies under uncertainty. study, effective demonstrates adaptability, confirming robustness via analyses. Demonstrating adaptability varying weights (± 20%) reliability MCDM offers advancing practical manufacturing.

Language: Английский

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PySensMCDA: A novel tool for sensitivity analysis in multi-criteria problems

SoftwareX, Journal Year: 2024, Volume and Issue: 27, P. 101746 - 101746

Published: May 16, 2024

The presented programming package introduces an innovative tool for sensitivity analysis within Multi-Criteria Decision Analysis (MCDA), offering a modular and flexible structure versatile applications. PySensMCDA is developed in Python ensures adaptability by adjusting the behavior of methods to specific needs users. Robust input data validation enhances reliability minimizing errors. versatility proposed allows both personal research applications MCDA domain, making it important contribution enhancing comprehensiveness assessment. eight modules encompass variety approaches, including alternative modification, criteria weights adjustment, probabilistic ranking alterations, compromise solutions, preference calculations, graph visualizations, validation. main aim equip decision-makers with predefined methods, thereby facilitating more comprehensive detailed analyses multi-criteria decision scenarios.

Language: Английский

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