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1

Koch, Roy W., and Roderick L. Allen. "Decision Support System for Local Water Management." Journal of Water Resources Planning and Management 112, no. 4 (1986): 527–41. http://dx.doi.org/10.1061/(asce)0733-9496(1986)112:4(527).

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2

Mirian, Maryam S., Majid Nili Ahmadabadi, Babak N. Araabi, and Roland R. Siegwart. "Learning Active Fusion of Multiple Experts' Decisions: An Attention-Based Approach." Neural Computation 23, no. 2 (2011): 558–91. http://dx.doi.org/10.1162/neco_a_00079.

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In this letter, we propose a learning system, active decision fusion learning (ADFL), for active fusion of decisions. Each decision maker, referred to as a local decision maker, provides its suggestion in the form of a probability distribution over all possible decisions. The goal of the system is to learn the active sequential selection of the local decision makers in order to consult with and thus learn the final decision based on the consultations. These two learning tasks are formulated as learning a single sequential decision-making problem in the form of a Markov decision process (MDP),
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Esteva, Juan Carolos, V. M. Rao Tummala, and Sergio Antiochia. "Decision Support System for Local Area Network Procurement." Information Resources Management Journal 6, no. 2 (1993): 5–14. http://dx.doi.org/10.4018/irmj.1993040101.

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4

Holov, A. "Implementation of effective decision-making system in local state governmental bodies." Bulletin of Science and Practice 4, no. 3 (2018): 232–40. https://doi.org/10.5281/zenodo.1198726.

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This article analyzes the problems of the implementation of accepting effective decisions in local authorities. Besides, certain suggestions and reccomendations related to the participation of social public control in decision accepting process in local state governmental bodies.
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Luo, Junhai, and Xiaoting He. "A Soft–Hard Combination Decision Fusion Scheme for a Clustered Distributed Detection System with Multiple Sensors." Sensors 18, no. 12 (2018): 4370. http://dx.doi.org/10.3390/s18124370.

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In the distributed detection system with multiple sensors, there are two ways for local sensors to deliver their local decisions to the fusion center (FC): a one-bit hard decision and a multiple-bit soft decision. Compared with the soft decision, the hard decision has worse detection performance due to the loss of sensing information but has the main advantage of smaller communication costs. To get a tradeoff between communication costs and detection performance, we propose a soft–hard combination decision fusion scheme for the clustered distributed detection system with multiple sensors and n
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BK, Upendra Bahadur. "The Exclusion of Dalits in Local Governance." Scholars' Journal 6 (December 31, 2023): 49–67. http://dx.doi.org/10.3126/scholars.v6i1.69994.

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In order to guarantee citizen participation in the decision-making stages of governance, the federal system of governance in Nepal distributes state authorities across the national and sub-nation al levels. From an equity perspective, local governance becomes even more fundamental when oppressed and marginalized people participate in decision-making. Examining the degree of Dalit subordination in local government decision-making is the article’s goal. In addition to critically analyzing relevant material pertaining to the research issue, the researcher employed a narrative approach to gather l
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Meyer, Friederike, and Conrad Boley. "Hazard assessment for potential slope debris flow areas by a local scaled Decision Support System." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 161, no. 2 (2010): 163–73. http://dx.doi.org/10.1127/1860-1804/2010/0161-0163.

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Degang, Chen, and Zhao Suyun. "Local reduction of decision system with fuzzy rough sets." Fuzzy Sets and Systems 161, no. 13 (2010): 1871–83. http://dx.doi.org/10.1016/j.fss.2009.12.010.

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Suhendro, Saring. "Optimalization Decisions Of Local Governmental In Indonesia." E-Jurnal Akuntansi 32, no. 9 (2022): 2822. http://dx.doi.org/10.24843/eja.2022.v32.i09.p15.

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The application of the local government finance system currently being used is one of the facilities from the Ministry of Home Affairs to local governments in the field of regional financial management to strengthen perceptions of regional financial management systems and procedures. This study looks at how task and user characteristics will affect the success of accounting information systems and optimal decision quality of all local governments by adopting the theory of Petter, Delone, and McLean (2013). Data was collected through questionnaires distributed to all residents of the provincial
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Hyder, Ayaz, Anne Trinh, Pranav Padmanabhan, et al. "COVID-19 Surveillance for Local Decision Making." Public Health Reports 136, no. 4 (2021): 403–12. http://dx.doi.org/10.1177/00333549211018203.

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Objective Data-informed decision making is valued among school districts, but challenges remain for local health departments to provide data, especially during a pandemic. We describe the rapid planning and deployment of a school-based COVID-19 surveillance system in a metropolitan US county. Methods In 2020, we used several data sources to construct disease- and school-based indicators for COVID-19 surveillance in Franklin County, an urban county in central Ohio. We collected, processed, analyzed, and visualized data in the COVID-19 Analytics and Targeted Surveillance System for Schools (CATS
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KIM, Yong-Sup. "The Improvement of the Legal System for the Determination of the Jurisdiction of Saemangeum Area." Korean Administrative Law Association 27 (September 30, 2024): 413–53. http://dx.doi.org/10.59826/kdps.27.413.

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Regarding the decision of the district of local governments, it has been relatively clearly determined by the maritime boundary line on the National Basic Report (topographic map) by the Constitutional Court's competency dispute trial. Currently, it is a dispute settlement system that does not recognize the customary legal effect of the maritime boundary line and resolves it by filing a complaint with the Supreme Court. Article 5 (formerly Article 4) of the Local Autonomy Act states that there is no legal boundary for the district of local governments and that it is subject to the former, and
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Erazo Navas, Carlos Felipe, Alejandro Echavarria Yepes, Sepideh Abolghasem, and Giacomo Barbieri. "MTConnect-based decision support system for local machine tool monitoring." Procedia Computer Science 180 (2021): 69–78. http://dx.doi.org/10.1016/j.procs.2021.01.130.

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13

Di Graziano, A., and V. Marchetta. "A risk-based decision support system in local railways management." Journal of Rail Transport Planning & Management 20 (December 2021): 100284. http://dx.doi.org/10.1016/j.jrtpm.2021.100284.

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14

Cikic, Jovana. "Citizens' participation in local environmental protection system." Sociologija 54, no. 3 (2012): 549–66. http://dx.doi.org/10.2298/soc1203549c.

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Changes in theoretical approach but also practice of planning environmental protection brought forth the issue of citizens? participation. Active citizens? participation is particularly stressed at the local environmental protection system because local community is considered as a framework of citizens? everyday life. At the same, capacity for citizens? participation is determined by interactions of three factors: a) general social conditions, b) characteristics of environmental protection system and c) characteristics of citizens? environmental awareness. The analysis, based on the results o
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Hülsmann, Jonas, Julia Barbosa, and Florian Steinke. "Local Interpretable Explanations of Energy System Designs." Energies 16, no. 5 (2023): 2161. http://dx.doi.org/10.3390/en16052161.

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Optimization-based design tools for energy systems often require a large set of parameter assumptions, e.g., about technology efficiencies and costs or the temporal availability of variable renewable energies. Understanding the influence of all these parameters on the computed energy system design via direct sensitivity analysis is not easy for human decision-makers, since they may become overloaded by the multitude of possible results. We thus propose transferring an approach from explaining complex neural networks, so-called locally interpretable model-agnostic explanations (LIME), to this r
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Li, Na, Rudi Hakvoort, and Zofia Lukszo. "Cost Allocation in Integrated Community Energy Systems—Social Acceptance." Sustainability 13, no. 17 (2021): 9951. http://dx.doi.org/10.3390/su13179951.

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Integrated community energy systems (ICESs) are a good representative of local energy systems by integrating local distributed energy resources and local communities. It is proposed that costs should be allocated in a socially acceptable manner since there is no regulation in ICESs. In this paper, social acceptance is conceptualized from the dimension of community acceptance considering procedural and distributive justice. A fair process increases the understanding and the acceptance of the cost allocation outcomes, and a fair outcome leads to the acceptance of the cost allocation procedure. T
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Shekhar, S. "Improving the Slum Planning Through Geospatial Decision Support System." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2 (November 11, 2014): 99–105. http://dx.doi.org/10.5194/isprsarchives-xl-2-99-2014.

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In India, a number of schemes and programmes have been launched from time to time in order to promote integrated city development and to enable the slum dwellers to gain access to the basic services. Despite the use of geospatial technologies in planning, the local, state and central governments have only been partially successful in dealing with these problems. The study on existing policies and programmes also proved that when the government is the sole provider or mediator, GIS can become a tool of coercion rather than participatory decision-making. It has also been observed that local leve
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Kyriakarakos, George, Konstantinos Patlitzianas, Markos Damasiotis, and Dimitrios Papastefanakis. "A fuzzy cognitive maps decision support system for renewables local planning." Renewable and Sustainable Energy Reviews 39 (November 2014): 209–22. http://dx.doi.org/10.1016/j.rser.2014.07.009.

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19

Hettinga, Sanne, Peter Nijkamp, and Henk Scholten. "A multi-stakeholder decision support system for local neighbourhood energy planning." Energy Policy 116 (May 2018): 277–88. http://dx.doi.org/10.1016/j.enpol.2018.02.015.

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20

Setiawan, Herri, Dhamayanti Dhamayanti, and Tasmi Tasmi. "Local Government Project Assessment Application Using Group Decision Support System (GDSS) Model." Journal of Information Systems and Informatics 4, no. 4 (2022): 1053–62. http://dx.doi.org/10.51519/journalisi.v4i4.410.

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The assessment process is an important step in the evaluation, as it underlies the successful evaluation of a project. One solution to make the project assessment more objective is to apply the concept of a Group Decision Support System (GDSS), which in the decision process uses computing. This research tries to implement the concept by building an application for project evaluation and providing recommendations on project performance in local government agencies. The proposed Decision Makers (DMs) are involved: Executives of Government Institutions, Project Management Work Units, Business Pro
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Chornei, Ruslan. "Local Control in Gordon-Newell Networks." NaUKMA Research Papers. Computer Science 7 (May 12, 2025): 120–29. https://doi.org/10.18523/2617-3808.2024.7.120-129.

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We examine continuous-time stochastic processes with a general compact state space, which is organized by a fundamental graph defining a neighborhood structure of states. These neighborhoods establish local interactions among the coordinates of the spatial process. At any given moment, the random state of the system, as described by the stochastic process, forms a random field concerning the neighborhood graph.The process is assumed to have a semi-Markov temporal property, and its transition kernels exhibit a spatial Markov property relative to the basic graph. Additionally, a local control st
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Zhang, Liwei, Kelin Chen, and Ji Zhao. "Evidence-Based Decision-Making for a Public Health Emergency in China: Easier Said Than Done." American Review of Public Administration 50, no. 6-7 (2020): 720–24. http://dx.doi.org/10.1177/0275074020942410.

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This article aims to argue that evidence-based decision-making for a public health emergency is “easier said than done” reflected on COVID-19 response in China. For the local government, the behavioral pattern is prone to blame-avoiding instead of making decision following scientific evidence and experts’ advice. However, such behavior is not based on completely subjective judgment but a rational choice for the local government. Some consequences associated with China’s response to COVID-19 reveals an inflexible administrative system. Therefore, China’s governance reform should focus on empowe
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Kaliappan, Jayakumar, Revathi Thiagarajan, and Karpagam Sundararajan. "Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection." Scientific World Journal 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/314601.

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An intrusion detection system (IDS) helps to identify different types of attacks in general, and the detection rate will be higher for some specific category of attacks. This paper is designed on the idea that each IDS is efficient in detecting a specific type of attack. In proposed Multiple IDS Unit (MIU), there are five IDS units, and each IDS follows a unique algorithm to detect attacks. The feature selection is done with the help of genetic algorithm. The selected features of the input traffic are passed on to the MIU for processing. The decision from each IDS is termed as local decision.
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Venkatapathi, Pella, Habibulla Khan, S. Srinivasa Rao, and Govardhani Immadi. "Cooperative Spectrum Sensing Performance Assessment using Machine Learning in Cognitive Radio Sensor Networks." Engineering, Technology & Applied Science Research 14, no. 1 (2024): 12875–79. http://dx.doi.org/10.48084/etasr.6639.

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The Cognitive Radio (CR) is an imminent technology, intended to make more effective use of the available spectrum by giving access to licensed frequency bands by unlicensed Secondary Users (SUs) without affecting Primary licensed Users (PUs). Depending on the region where the energy is being observed, each CR communicates local decisions or the seen energy to the Fusion Center (FC). This study presents the many plots that discuss an enhanced double threshold through the Cooperative Spectrum Sensing (CSS) approach. The FC then combines local decisions with the measured energy values to reach a
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Tamir, Qureshi. "Brain Tumor Detection System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46252.

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Abstract— Brain tumor detection systems using Explainable Artificial Intelligence (XAI) aim to provide accurate and interpretable tumor diagnosis. This research integrates machine learning models such as Decision Trees, Random Forest, Logistic Regression, and Support Vector Machines, leveraging ensemble learning techniques like stacking and voting to enhance predictive accuracy. The system employs XAI techniques such as SHAP (Shapley Additive Explanations) and LIME (Local Interpretable Model-agnostic Explanations) to ensure model transparency and interpretability. This paper presents the metho
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Afrianto, Eko, Ferry Wiranto, and Iqbal Sabilirrasyad. "Decision Support System Selection of Land Suitable for Coffee Types Using the SMART Method (Case Study of the Jember Cocoa Coffee Research Center)." INSIDE - Jurnal Sistem Informatika Cerdas 1, no. 1 (2023): 16–26. http://dx.doi.org/10.31967/inside.v1i1.884.

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Coffee is one of Indonesia's mainstays in economic matters, coffee cultivation in Indonesia will produce 774.60 thousand tons of coffee in 2021. This means that this could be a lucrative opportunity. Not only that, the existence of coffee shops also began to be popular in many areas. The majority of these coffee shops utilize local farmers' products. Decision Support Systems are part of a computer-based (including knowledge-based) information system that is used to support decision-making within an organization or company. DSS can also be regarded as a computer system that processes data into
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Chalyi, S., and V. Leshchynskyi. "Construction of explanations at the local level of decision-making process representation for internal users of the intelligent system." Bionics of Intelligence 1, no. 100 (2024): 58–64. http://dx.doi.org/10.30837/bi.2024.1(100).08.

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The subject of study in the article is the processes of constructing explanations for the obtained results and the sequence of decision-making actions in an intelligent information system. The goal is to develop an approach to constructing explanations at the local level of representation of the decision-making process of an intelligent system based on building temporal and causal dependencies, which creates conditions for identifying "bottlenecks" of this process when representing the intelligent system as a "gray" box. Tasks: development of an explanation model at the local level of represen
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Don, Duleep Rathgamage, Jonathan Boardman, Sudhashree Sayenju, et al. "Automation of Explainability Auditing for Image Recognition." International Journal of Multimedia Data Engineering and Management 14, no. 1 (2023): 1–17. http://dx.doi.org/10.4018/ijmdem.332882.

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XAI requires artificial intelligence systems to provide explanations for their decisions and actions for review. Nevertheless, for big data systems where decisions are made frequently, it is technically impossible to have an expert monitor every decision. To solve this problem, the authors propose an explainability auditing method for image recognition whether the explanations are relevant for the decision made by a black box model, and involve an expert as needed when explanations are doubtful. The explainability auditing system classifies explanations as weak or satisfactory using a local ex
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Morales, Antonio, Manuel Campos, Jose M. Juarez, Bernardo Canovas-Segura, Francisco Palacios, and Roque Marin. "A decision support system for antibiotic prescription based on local cumulative antibiograms." Journal of Biomedical Informatics 84 (August 2018): 114–22. http://dx.doi.org/10.1016/j.jbi.2018.07.003.

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Stula, Tomasz, and Jan Kazak. "Spatial Absorbency Concept as a Decision Support System for Sustainable Local Development." IOP Conference Series: Materials Science and Engineering 471 (February 24, 2019): 112009. http://dx.doi.org/10.1088/1757-899x/471/11/112009.

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Loomans, Naud, and Floor Alkemade. "Exploring trade-offs: A decision-support tool for local energy system planning." Applied Energy 369 (September 2024): 123527. http://dx.doi.org/10.1016/j.apenergy.2024.123527.

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PHS, Yuli Praptomo. "SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN LOKASI PENDIRIAN HOTEL BARU BERBASIS ANALYTICAL HIERARCHY PROCESS (AHP) DI KABUPATEN KULON PROGO." Jurnal Informatika Komputer, Bisnis dan Manajemen 16, no. 3 (2023): 56–66. http://dx.doi.org/10.61805/fahma.v16i3.90.

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Decision Support Systems or Decision Support Systems (DSS) are defined as interactive computer-based systems, which help decision makers to use data and models to solve unstructured problems. Decision Support Systems are interactive computer systems that can provide alternative solutions for decision makers, so decisions can be made more quickly and accurately.
 In an effort to speed up the decision-making process and avoid the subjectivity of the resulting decisions a decision support system is needed that aims to assist job management as decision makers in deciding the right location to
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Sanchez, Carlos Alberto Pacheco, Genny Torcoroma Navarro Claro, and Jose Alberto Cristancho. "Administrative systems, situational leadership and decision-making in local economy management." Revista de Gestão e Secretariado (Management and Administrative Professional Review) 14, no. 7 (2023): 11524–39. http://dx.doi.org/10.7769/gesec.v14i7.2368.

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Administrative systems and decision-making must be constantly studied in order to assess the strategic thinking of the administration with regard to its management and ability to achieve the competitiveness of organizations, however, the themes exposed in local economics are imprecise and little depth, therefore, the study knew the administrative system, the situational leadership style and the factors that affect the decision-making of a managerial type, with a quantitative-descriptive methodology, applying the questionnaire and the inquiry technique to 64 organized entrepreneurs in a sample
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Thittaporn, Ganokratanaa, and Ketcham Mahasak. "A transportation scheduling management system using decision tree and iterated local search techniques." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 2899–907. https://doi.org/10.11591/ijece.v13i3.pp2899-2907.

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This paper aimed to develop a delivery truck scheduling management system using a decision tree to support decision-making in selecting a delivery truck. First-in-first-out (FIFO) and decision tree techniques were applied to prioritize loading doors for delivery trucks with the use of iterated local search (ILS) in recommending the route for the transport of goods. Besides, an arrangement of loading doors can be assigned to the door that meets the specified conditions. The experimental results showed that the system was able to assign the job to a delivery truck under the specified conditions
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Luma, Subaedah, Frigita Ekasari Matheos, Julinda Ahtri Andalangi, and Jesica Panawar. "PROSES DAN TANTANGAN PENGAMBILAN KEPUTUSAN DALAM SISTEM PEMERINTAHAN GEREJA PRESBITERIAN SINODAL." THEOSEBIA: Journal of Theology, Christian Religious Education and Psychospiritual 1, no. 1 (2024): 15–28. https://doi.org/10.70420/yg34mv25.

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This study aims to analyze the Presbyterian church governance system, focusing on its structure, advantages, and challenges encountered in decision-making processes. The Presbyterian governance system involves the election of elders from local churches who form a session, with the pastor holding equal authority as a member of the session. This session manages the local church’s activities, while elders are also part of a presbytery and a general assembly with broader authority. The research employs a qualitative approach using literature analysis and case observations to understand the dynamic
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Witter, Sophie, Maria van der Merwe, Rhian Twine, et al. "Opening decision spaces: A case study on the opportunities and constraints in the public health sector of Mpumalanga Province, South Africa." PLOS ONE 19, no. 7 (2024): e0304775. http://dx.doi.org/10.1371/journal.pone.0304775.

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Background Decentralised and evidence-informed health systems rely on managers and practitioners at all levels having sufficient ‘decision space’ to make timely locally informed and relevant decisions. Our objectives were to understand decision spaces in terms of constraints and enablers and outline opportunities through which to expand them in an understudied rural context in South Africa. Methods This study examined decision spaces within Mpumalanga Province, using data and insights generated through a participatory action research process with local communities and health system stakeholder
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Barber, Sian. "‘Lewd, pornographic filth’: Managing Culture through Local Film Censorship in Britain, 1948–1968." Journal of British Cinema and Television 21, no. 1 (2024): 53–74. http://dx.doi.org/10.3366/jbctv.2024.0699.

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Film censorship in the UK is predicated on a two-tier system whereby the British Board of Film Classification (formerly British Board of Film Censorship Censorship) (BBFC) recommends a classification for a film and this classification is then implemented by local authorities. In cases where local authorities disagree with a BBFC decision they can change the classification or ban the film entirely. Conversely, they can also screen a film which has no BBFC certificate. This local decision-making is permitted under the powers granted to local authorities to oversee cinema exhibition and licensing
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Ganokratanaa, Thittaporn, and Mahasak Ketcham. "A transportation scheduling management system using decision tree and iterated local search techniques." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (2023): 2899. http://dx.doi.org/10.11591/ijece.v13i3.pp2899-2907.

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This paper aimed to develop a delivery truck scheduling management system using a decision tree to support decision-making in selecting a delivery truck. First-in-first-out (FIFO) and decision tree techniques were applied to prioritize loading doors for delivery trucks with the use of iterated local search (ILS) in recommending the route for the transport of goods. Besides, an arrangement of loading doors can be assigned to the door that meets the specified conditions. The experimental results showed that the system was able to assign the job to a delivery truck under the specified conditions
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Chalyi, Serhii, and Volodymyr Leshchynskyi. "AN EXPLANATION MODEL IN AN INTELLIGENT SYSTEM AT THE LOCAL, GROUP AND GLOBAL LEVELS OF DETAIL." Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, no. 2 (8) (December 23, 2022): 100–105. http://dx.doi.org/10.20998/2079-0023.2022.02.16.

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The subject of research is the process of formation of explanations in intellectual information systems. Machine learning methods are used in modern intelligent systems. The process of obtaining the solution formed on the basis of such methods is usually opaque to the user. As a result of such opacity, the user may not trust the solutions proposed by the intelligent system. This reduces the efficiency of its use. Explanations are used to increase the transparency of decisions. The explanation is represented by knowledge about the reasons for the formation of the result in the intellectual syst
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Capler, Jennifer. "Incorporating Systems Thinking into Local Governments in the United States of America." Scholar Chatter 2, no. 2 (2021): 22–29. http://dx.doi.org/10.47036/sc.2.2.22-29.2021.

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This is an opinion-based review of other research work on systems thinking paradigms and the possible application to local governments within the United States of America. Systems thinking is a complex interaction of people to generate thoughts, concepts, and ideas for situations involving organizational processes and changes. Using systems thinking can encourage collaboration, participative leadership, and interpersonal relations, increasing organizational effectiveness. Local government organizations may benefit greatly from creating and using systems thinking, incorporating constituent inpu
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Hoang, Van Dung, My Ha Le, Hyun-Deok Kang, and Kang-Hyun Jo. "Local descriptors based random forests for human detection." Science and Technology Development Journal 18, no. 3 (2015): 199–207. http://dx.doi.org/10.32508/stdj.v18i3.902.

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This paper presents a framework based on Random forest using local feature descriptors to detect human in dynamic camera. The contribution presents two issues for dealing with the problem of human detection in variety of background. First, it presents the local feature descriptors based on multi scales based Histograms of Oriented Gradients (HOG) for improving the accuracy of the system. By using local feature descriptors based multiple scales HOG, an extensive feature space allows obtaining high-discriminated features. Second, machine detection system using cascade of Random Forest (RF) based
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Vranić, Petar, Srđan Glišović, and Lazar Velimirović. "Decision Support for Integrated Management of Local-Level Adaptation to Climate Changes: The Case of Serbia." International Journal of Disaster Risk Science 12, no. 4 (2021): 479–94. http://dx.doi.org/10.1007/s13753-021-00357-3.

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AbstractProjected climate changes will additionally increase the already significant risk of natural hazard-related disasters in Serbia and the west Balkan region as a whole. Serbia is about to introduce the strategy for climate change adaptation and mitigation. However, a national decision-support system for implementation of the climate change law and strategy is yet to be developed. This study contributes to the implementation of adaptation policies at subnational levels by development of a decision-support model for local-level management of the climate change adaptation process. The study
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Woodruff, DR. "'WHEATMAN' a decision support system for wheat management in subtropical Australia." Australian Journal of Agricultural Research 43, no. 7 (1992): 1483. http://dx.doi.org/10.1071/ar9921483.

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This paper presents the basic relationships used in compiling a decision support system for wheat growers in the subtropical, prime-hard regions of Australia. The major factors addressed by this decision aid are climate variability, soil type and water status; N and P soil status and fertilizer addition; variety phenology, planting time and frost risk; weed infestation. The major decisions involved include fertilizer choice and quantity, choice of the variety development pattern to use for a given planting opportunity, and wild oat control measures. It demonstrates how the output from relative
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Fotopoulou, Maria, Dimitrios Rakopoulos, and Stefanos Petridis. "Decision Support System for Emergencies in Microgrids." Sensors 22, no. 23 (2022): 9457. http://dx.doi.org/10.3390/s22239457.

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The usual operation of a microgrid (MG) may often be challenged by emergencies related to extreme weather conditions and technical issues. As a result, the operator often needs to adapt the MG’s management by either: (i) excluding disconnected components, (ii) switching to islanded mode or (iii) performing a black start, which is required in case of a blackout, followed by either direct reconnection to the main grid or islanded operation. The purpose of this paper is to present an optimal Decision Support System (DSS) that assists the MG’s operator in all the main possible sorts of emergencies
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Coghlan, Ian, Dan Howe, James Carley, Matt Blacka, and Jodie Crawford. "FAIRY BOWER OVERTOPPING MONITORING AND DECISION SUPPORT SYSTEM." Coastal Engineering Proceedings, no. 37 (September 1, 2023): 72. http://dx.doi.org/10.9753/icce.v37.management.72.

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A monitoring and decision support system has been developed to manage dangerous overtopping of the Marine Parade promenade seawall at Fairy Bower, Manly, Sydney Australia. The seawall fronts 750 m of highly used promenade at the southern end of Manly Beach, and experiences overtopping events that are hazardous to pedestrians and potentially damaging to infrastructure, several times per year. The infrequent nature of the events results in members of the public being caught off-guard and unaware of the extent of the hazard. The local council has commenced a program of either deploying signs, sta
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Souza, Júlia Daniele Silva de, José Almir Cirilo, Saulo de Tarso Marques Bezerra, et al. "Decision Support System for the Integrated Management of Multiple Supply Systems in the Brazilian Semiarid Region." Water 15, no. 2 (2023): 223. http://dx.doi.org/10.3390/w15020223.

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To alleviate the impacts of water shortages and ensure the effective allocation of water resources, the integration of multiple sources has been a viable but challenging alternative for water resource managers. A robust decision support system (DSS) reduces the complexity of decision making and allows the user to define operational strategies that reduce costs and address system limitations. Through the Particle Swarm Optimization (PSO) collective intelligence algorithm and the operational zoning of reservoirs, it was possible to identify the monthly flow allocation for the Agreste of Pernambu
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RASHIDI, ALI J., and M. HASSAN GHASSEMIAN. "A NEW APPROACH FOR MULTI-SYSTEM/SENSOR DECISION FUSION BASED ON JOINT MEASURES." International Journal of Information Acquisition 01, no. 02 (2004): 109–20. http://dx.doi.org/10.1142/s0219878904000148.

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This article describes the joint measures method as a new powerful method for the development of a high performance multi-sensor data/image fusion scheme at the decision level. The images are received from distributed multiple sensors, which sense the targets in different spectral bands including visible, infrared, thermal and microwave. At first, we study the decision fusion methods, including voting schemes, rank based algorithm, Bayesian inference, and the Dempster-Shafer method. Then, we extract the mathematical properties of multi-sensor local classification results and use them for model
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Zuraidah, Eva. "Decision Support System For Selecting Bali Tourist Attractions Using The PROMETHEE Method." SinkrOn 3, no. 2 (2019): 1. http://dx.doi.org/10.33395/sinkron.v3i2.237.

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Tourism is currently very potential to be developed as a source of local income by providing information both online and offline to the community so that regional income increases. Bali is one of the tourist destinations in Indonesia which is visited by many local and foreign tourists. The island of Bali has many interesting sights consisting of natural attractions, royal festivals, culinary tours, traditional markets, and museums. There are many criteria that must be considered, so through this recommendation system, tourists can find out what places are in Bali they will visit. One of the pr
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Menger, Mariza. "Explaining Local Self-Government Reorganisation in Croatia." Hrvatska i komparativna javna uprava 19, no. 1 (2019): 105–26. http://dx.doi.org/10.31297/hkju.19.1.5.

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This article deals with changes to the system of local and regional self-government in Croatia between 2003 and 2017. For the most part, reform efforts, excluding some positive developments with regard to the promotion of the democratic principles of governance, have not been successful. The article addresses the question of how to theoretically account for these changes. The aim is to offer an understanding of reform failure by focussing on the preceding processes. The article begins by establishing that reform efforts in the existing literature on Croatian local- and middle-level government
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Hameed Mousa, Ayad, Nibras Talib Mohammed, and Heba Adnan Raheem. "Design and Implementation a Typical University Business Intelligence System Using Data Warehouse Technique (UBIS)." International Journal of Engineering & Technology 7, no. 4.19 (2018): 870–73. http://dx.doi.org/10.14419/ijet.v7i4.19.28060.

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In organizations management, a Business Intelligence systems (BI) provides a flexible and computerized approach to help and support their top management (decision makers) to make better decisions. The education institutes tend to develop a Business Intelligence (BI) system to manage, integrate and control the academic information systems in terms of both data.However, until today, information does not integrate and presented in an appropriate manner for the university-decision-maker in helping them to make better decisions. The main issue is how to extract and process a massive amount of the i
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