Acta Tropica, Год журнала: 2024, Номер 256, С. 107261 - 107261
Опубликована: Май 19, 2024
Язык: Английский
Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 132, С. 107926 - 107926
Опубликована: Янв. 31, 2024
Increases in population and prosperity are linked to a worldwide rise garbage. The "classification" "recycling" of solid waste is crucial tactic for dealing with the problem. This paper presents new two-layer intelligent decision system sorting based on fused features Deep Learning (DL) models as well selection an optimal deep Waste-Sorting Model (WSM) Multi-Criteria Decision Making (MCDM). A dataset comprising 1451 samples images waste, distributed across four classes – cardboard (403), glass (501), metal (410), general trash (137), was used sorting. study proposes Multi-Fused Matrix (MFDM) identified fusion score level rules, evaluation criteria, waste-sorting models. Five rules process perspectives into MFDM sum, weighted product, maximum, minimum rules. Additionally, each entropy Visekriterijumska Optimizacija i Kompromisno Resenje Serbian (VIKOR) methods weighting selected criteria ranking WSMs. highest accuracy rate 98% scored by ResNet50-GoogleNet- Inception rule. However, under same rule, insufficient presented ResNet50-GoogleNet-Xception. Since Qi = 0 Inception-Xception, final output MCDM indicates that Inception-Xception model outperforms other WSMs, which achieved lowest values Qi. Thus, chosen best multiple different perspectives. mean standard deviation metrics were both validate findings objectively. suggested approach can aid urban decision-makers prioritizing choosing Artificial Intelligence (AI)-optimized model.
Язык: Английский
Процитировано
6
Heliyon, Год журнала: 2024, Номер 10(7), С. e28383 - e28383
Опубликована: Март 26, 2024
This article presents a novel study of spherical fuzzy sets (SFSs), more comprehensive framework intuitionistic and picture sets. The SFS allows the decision-makers (DMs) to cope with complicated insufficient information during aggregation process. Heronian mean (HrM) model theory is also utilized express correlation among different input arguments or characteristics. Recently, Aczel Alsina triangular norms gained lot attention from various research scholars has many capabilities provide smooth approximations decision analysis. In this article, we developed some appropriate operations t-norms t-conorms in light (SF) information. We develop new mathematical ways look at SF data keep clarity sufficient These are (SFAAHrM) weighted (SFAAWHrM) operators. Furthermore, present list strategies based on operations, such as geometric (SFAAGHrM) (SFAAWGHrM) Some notable properties characterized show validity effectiveness our derived approaches. Considering strategies, an algorithm for multiple attribute decision-making (MADM) problem established resolve real-life applications. A numerical example compatibility approaches provides solid mechanism improve performance educational institutes. comparison technique demonstrated applicability consistency diagnosed by contrasting findings pioneered existing methodologies.
Язык: Английский
Процитировано
6
Structural Change and Economic Dynamics, Год журнала: 2024, Номер 70, С. 544 - 566
Опубликована: Май 16, 2024
Despite the fact that artificial intelligence (AI) techniques are increasingly influencing economic and societal dynamics, certain aspects of AI's role in structural change, such as enhancing resilience supply chains, have not been thoroughly explored academic research. Thus, we first identify thirteen variables influential shaping transformation food chains. These chosen based on financial, technological, social, organizational challenges to building within chain. Then, generate an interval-valued T-spherical fuzzy CoCoSo'B model uncover AI chain dynamics change sector. After that, explore alleviating factors through generated decision expert interview. The result also reveals advantageAd2"Enhancing information sharing among nodes" (1.983) has most potential influence adoption behavior. outcomes present study can provide a new decision-support technique for uncovering effects
Язык: Английский
Процитировано
6
Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 200, С. 114571 - 114571
Опубликована: Май 17, 2024
Язык: Английский
Процитировано
6
Heliyon, Год журнала: 2024, Номер 10(8), С. e29415 - e29415
Опубликована: Апрель 1, 2024
Land subsidence is a widespread problem impacting communities worldwide. Understanding the causes and factors of land crucial for identifying prioritizing effective mitigation measures. One main reasons potential impact on infrastructure environment. The objective this paper to emphasize importance subsidence. By understanding contributing based their urgency, aim develop targeted strategies mitigation, inform policy decisions, prevent further exacerbation problems. study comprises three phases, where experts in field provide opinions propose robust hybrid framework. This framework integrates Failure Mode Effect Analysis (FMEA) Step-wise Weight Assessment Ratio (SWARA) with Hesitant q-rung orthopair fuzzy set (Hq-ROFS). performance proposed technique was then compared two other decision-making techniques evaluating ranking causes. According results, extraction groundwater, excessive irrigation using oxidation drainage organic soils were identified as primary drivers
Язык: Английский
Процитировано
5
Challenges in Sustainability, Год журнала: 2024, Номер 12(1), С. 1 - 17
Опубликована: Апрель 30, 2024
Climate change (CC) represents a paramount environmental challenge, necessitating the deployment of sustainable, low-carbon strategies particularly in developing regions such as Africa. This study introduces novel decision-making framework aimed at enhancing prioritization policies to combat adverse effects CC. The proposed two-stage model employs integration Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product (WASPAS) under spherical fuzzy (SF) conditions address strategic sequencing sustainable policies. Initially, SF-SWARA is utilized ascertain relative significance diverse criteria. Subsequently, SF-WASPAS method ranks these policies, facilitating informed decision-making. primary obstacles identified include limited institutional capacity, insufficient financial resources, technological constraints, for which alternatives are proposed. Moreover, rigorous sensitivity comparative analyses affirm model's applicability. By systematically delineating prioritizing necessary this contributes significantly scholarly discourse on climate mitigation (CM) an African context.
Язык: Английский
Процитировано
5
Annals of Operations Research, Год журнала: 2025, Номер unknown
Опубликована: Март 4, 2025
Язык: Английский
Процитировано
0
Transportation Research Interdisciplinary Perspectives, Год журнала: 2024, Номер 24, С. 101024 - 101024
Опубликована: Фев. 15, 2024
Parcel lockers have emerged as an effective solution to address inefficiencies in last-mile delivery. However, the selection of appropriate location plays a crucial role ensuring optimal service and enhanced logistic performance. To this challenge, work aims define best for parcel capital Ireland, Dublin by conducting novel decision-making model. The Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) has been adopted deal with uncertainty decision maker preferences, while Euclidean Distance-Based Aggregation Method (EDBAM) conducted aggregate makers preferences. proposed integrated model is applicable approach elude AHP deterministic disadvantages, moreover, it first application SF-AHP EDBAM select lockers' location. findings, including identification top three locations, namely "Post office," "On commercial area," "High population density along their respective weight scores, provide valuable insights policymakers making strategic decisions regarding locker placements city.
Язык: Английский
Процитировано
3
Granular Computing, Год журнала: 2024, Номер 9(2)
Опубликована: Фев. 22, 2024
Язык: Английский
Процитировано
2
Artificial Intelligence Review, Год журнала: 2024, Номер 57(3)
Опубликована: Фев. 23, 2024
Abstract Digitization represents the ultimate expression of globalization that has revolutionized every facet global existence, enhancing connectivity, financial terms, trade opportunities, and public services. To further broaden or fortify this digital realm advance progress, various strategies for multi-criteria group decision-making (MCGDM) have been developed. This research article extends literature study on sensational MCGDM method known as Preference Ranking Organization Method Enrichment Evaluations (PROMETHEE), which shares burden selecting best alternative under many terms conditions. aims to make a positive contribution development world. The main principle PROMETHEE technique is calculate negative flows selected options according divergence alternatives’ scores. It provides us with partial full rankings by determining score degrees, suitable preference functions, index. deal multi-polarity modern world assign N -ordered levels, paper proposes multi-polar fuzzy -soft ( m F S) technique. Prior this, an Analytic Hierarchy Process (AHP) applied guarantee credibility criterion weights each criterion. After that, whole strategy -polar approach order explained, all course action remarkable are synchronized in extensive flowchart, helping learn more about technology keenly. Moreover, utility our discussed illustrated considering two applications generating electricity through human movement choosing currency. most choice extracted help outranked directed graph. results obtained S benefits selection reliable source digitized economy, addition, enables rank alternatives from preferable least one, not only saves time but also produces better outcomes. Subsequently, eminence checked comparability prior art. Lastly, advantages disadvantages proposed supplemented demonstrate its productivity shortcomings.
Язык: Английский
Процитировано
2