Relevant bibliographies by topics / Integrated Decision Framework (IDF)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Integrated Decision Framework (IDF)'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Integrated Decision Framework (IDF)"

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Liu, Zhongming, Hang Luo, Peng Chen, Qibin Xia, Zhihao Gan, and Wenyu Shan. "An efficient isomorphic CNN-based prediction and decision framework for financial time series." Intelligent Data Analysis 26, no. 4 (July 11, 2022): 893–909. http://dx.doi.org/10.3233/ida-216142.

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Financial time series prediction and trading decision-making are priorities of computational intelligence for researchers in academia and the finance industry due to their broad application areas and substantial impact. However, these methods remain challenging because they retain various complex statistical properties, and the mechanism behind the processes is unknown to a large extent. A significant number of machine learning-based methods are proposed and demonstrate impressive results, especially deep learning-based models. Nevertheless, due to the high complexity of massive, nonlinear, and nonindependent data and the difficulties and time consumption of complicated training models of deep learning, the performance of online trading decisions is still inadequate for practical application. This paper proposes the Integrated Framework of Forecasting Based Online Trading Strategy (IFF-BOTS) to satisfy better prediction performance and dynamic decisions for real-world online trading systems. Our method adopts a novel isomorphic convolutional neural network (CNN)-based forecaster-classifier-executor architecture to exploit CNN-based price and trend integrated prediction and direct-reinforcement-learning-based trading decision-making. IFF-BOTS can also achieve better real-time performance for online trading. We empirically compare the proposed approach with state-of-the-art prediction and trading methods on real-world S&P and DJI datasets. The results show that the IFF-BOTS outperforms its competitors in predicting metrics, trading profits, and real-time performance.
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Bucx, T. H. M., C. J. M. van Ruiten, G. Erkens, and G. de Lange. "An integrated assessment framework for land subsidence in delta cities." Proceedings of the International Association of Hydrological Sciences 372 (November 12, 2015): 485–91. http://dx.doi.org/10.5194/piahs-372-485-2015.

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Abstract. In many delta cities land subsidence exceeds absolute sea level rise up to a factor of ten by excessive groundwater extraction related to rapid urbanization and population growth. Without change, parts of Jakarta, Ho Chi Minh City, Bangkok and numerous other delta (and coastal) cities will sink below sea level. Increased flooding and also other widespread impacts of land subsidence result already in damage of billions of dollars per year. In order to gain insight in the complex, multi-sectoral aspects of subsidence, to raise awareness and to support decision making on appropriate adaptation strategies and measures, an Integrated Assessment Framework (IAF) for subsidence is introduced, illustrated by several (delta) case studies. Based on that a list of 10 generic key issues and possible solutions is presented in order to further develop and support a (generic) approach how to deal with subsidence in current and future subsidence-prone areas. For exchange of experiences and knowledge development.on subsidence in deltas the Delta Alliance, a knowledge network of deltas worldwide, can be supportive.
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Aghazadeh, Ebrahim, Hasan Yildirim, and Murat Kuruoglu. "A Hybrid Fuzzy MCDM Methodology for Optimal Structural System Selection Compatible with Sustainable Materials in Mass-Housing Projects." Sustainability 14, no. 20 (October 20, 2022): 13559. http://dx.doi.org/10.3390/su142013559.

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The present paper aimed to propose a new support approach to choosing the optimal structural system in accordance with sustainable materials in mass-housing projects. To this end, an integrated fuzzy multi-criteria-decision-making (fuzzy MCDM) method was used to identify the criteria affecting sustainable material selection. The proposed approach consists of a three-phase protocol: In phase I, the literature was used to create a database encompassing 42 factors affecting the selection of materials. These factors were classified as four indicators (economic, environmental, socio-cultural, technical-executive) in accordance with the sustainable development aspects. In phase II, the fuzzy Delphi method (FDM) was used to screen the key factors. In phase III, an integrated fuzzy SWARA–ARAS method was used to prioritize the optimal structural system for a case project: evidence from Iran. The results of selecting the structural systems based on 14 efficient key factors showed that the Light Steel Frame (LSF), Insulation Concrete framework (ICF), and the Prefabricated Reinforced Concrete System (PRC) systems have the highest priority to achieve the goals of sustainable material selection, respectively.
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Breton, Jessica, Zhang Yuchen, Trusha Patel, Janine McDermott, Jamie Stevenson, Erica Schwab, Maura Downing, Elizabeth Maxwell, Shazia Siddique, and Andrew Grossman. "27 UTILIZATION OF AN ELECTONIC MEDICAL RECORD (EMR)-INTEGRATED DASHBOARD IMPROVES IDENTIFICATION AND TREATMENT OF IRON DEFICIENCY IN PEDIATRIC INFLAMMATORY BOWEL DISEASE." Inflammatory Bowel Diseases 26, Supplement_1 (January 2020): S58. http://dx.doi.org/10.1093/ibd/zaa010.148.

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Abstract Background Anemia is frequently encountered in inflammatory bowel disease (IBD) with studies reporting an even greater prevalence among children (16–72%) than adults (4–67%) at any given time during disease course. Anemia is commonly a result of chronic iron deficiency (ID) and inflammation, with the two conditions often overlapping. Many studies have shown that gastroenterologists underecognize and undertreat these conditions. Moreover, there are currently no pediatric-specific guidelines. To align clinical practice with adult guideline recommendations and evidence-based publications, we developed a quality improvement (QI) initiative incorporating an algorithmic framework for recognition and treatment of iron deficiency anemia (IDA) in pediatric IBD. Methods The goals were twofold: improvement in 1) detection and 2) treatment rates of IDA in IBD patients. A multifaceted approach with a series of plan-do-study-act (PDSA) cycles was executed: 1. Public review of our current performance of anemia screening and treatment with all divisional providers (n=60) (11/2017), 2. Development of a new divisional clinical pathway for screening and treatment of IDA in patients with IBD (01/2018), 3. Educational sessions (02-04/2018), 4. Creation of an Epic order set and patient and family education (PFE) (02/2018), 5. Online availability of our pathway (11/2018), and 6. Utilization of an electronic medical record (EMR)-integrated dashboard to track our outcome metrics. A designated coordinator identified patients in the EMR and sent monthly reports to providers based on our automated dashboard which captured the percentage of patients with ordered hemoglobin (Hb) and ferritin, percentage of patients with anemia and/or iron deficiency, and percentage of patients with ordered iron therapy. Baseline data from July 2016 were compared to data after pathway implementation. Results In the pre-intervention period (July 2016-November 2017), 73.5% of our outpatient IBD population had a Hb ordered, with anemia prevalence of 36.3%. Only a minority of patients with anemia were being screened for ID (19.3%). Iron supplementation was prescribed in 38.1% of patients with documented anemia. Following the implementation of this QI initiative, rate of patients with biannual Hb testing completed increased to 80.1%, while prevalence of anemia decreased to 32.1%. Significant improvement was observed with screening and treatment rate increasing to 43.1% and 50.4% respectively by July 2019 as shown in Fig. 1–2. Notably, patients with moderate to severe anemia improved significantly from 48.7% to 62.1%. Conclusion ID and anemia are commonly underdiagnosed and undertreated in children with IBD. An evidence and expert based pathway combined with implementation of provider-based monthly reports using the EMR to support clinical decision may help increase screening and intervention and decrease rates of anemia prevalence. https://www.chop.edu/clinical-pathway
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Obradovikj Grncarovska, Teodora, Vladimir Dukovski, and Manu Sharma. "An integrated product policy decision framework." Management of Environmental Quality: An International Journal 25, no. 1 (January 7, 2014): 63–74. http://dx.doi.org/10.1108/meq-05-2013-0046.

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Purpose – The purpose of this paper is to formulate an integrated product policy (IPP) framework for the Republic of Macedonia, taking into account unique circumstances faced by the country, particularly the mandatory transposition of European Union (EU) environmental legislation, limited country-specific data availability and the low level of environmental awareness. Design/methodology/approach – The proposed IPP indicators at EU level and the available indicators in Macedonian conditions were used in order to create a composite IPP index as a method of measurement of the level of IPP implementation in the country. Markov Decision Processes (MDPs) are used as a policy decision approach for IPP. The purpose is to evaluate what decisions (taken now and in the future) would lead to the best possible level of IPP implementation. The approach applicability for long-term policy planning is demonstrated using a simple numerical example. Findings – A stylized numerical example utilizing the composite IPP index and the MDP approach indicate that policy makers should focus not only on transposing the mandatory EU legislation related to IPP, but simultaneously work to raise public awareness of IPP and environmental issues, since this opens the door for more beneficial policy alternatives in the future. Considering the long-term consequences of actions taken in the present time should be an essential part of policy design, given the pervasive and long-term nature of the effects of IPP policy. It is also very important to revisit the assumptions at regular intervals and incorporate into this framework the new learning and data obtained with time. Originality/value – This IPP framework and quantitative policy decision approach, in spite of its limitations, is a valuable and informative guide for IPP policy makers in the Republic of Macedonia. By incorporating a long-term view, explicit measurement of progress towards IPP implementation and the consideration of possible future consequences of policy decisions made in the present, it should be possible to significantly increase the likelihood of successful IPP implementation and improve environmental outcomes than those obtained using more conventional approaches.
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M.U. Noormanshah, Wan, Puteri N.E. Nohuddin, and Zuraini Zainol. "Document Categorization Using Decision Tree: Preliminary Study." International Journal of Engineering & Technology 7, no. 4.34 (December 13, 2018): 437. http://dx.doi.org/10.14419/ijet.v7i4.34.26907.

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This preliminaries study aims to propose a good classification technique that capable of doing document classification based on text mining technique and create an algorithm to automatically classify document according to its folder based on document’s content while able to do sentiment analyses to data sets and summarize it. The objective of this paper to identify an efficient text mining classification technique which can resulted with highest accuracy of classifying document into document folder, capable of extracting valuable information from context-based term that can be used as an output for algorithm to do automatic classification and evaluate the classification technique. Methodology of this study comprises in 5 modules which is 1) Document collection, 2) Pre-Processing Stage, 3) Term Frequency-Inversed Document Frequency, 4) Classification Technique and Algorithm, and lastly 5) Evaluation and Visualization of the classification result. The proposed framework will have utilized Term Frequency-Inversed Document Frequency (TF-IDF) and Decision Tree technique which TF-IDF used as purposes to rank all the terms based on most frequent to least frequent terms so, while decision tree function as decision making in terms of deciding which folder the document belongs to.
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Timperio, Giuseppe, Sunil Tiwari, José Manuel Gaspar Sánchez, Rafael Adrián García Martín, and Robert de Souza. "Integrated decision support framework for distribution network design." International Journal of Production Research 58, no. 8 (October 24, 2019): 2490–509. http://dx.doi.org/10.1080/00207543.2019.1680894.

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Ryu, Young U. "Constraint logic programming framework for integrated decision supports." Decision Support Systems 22, no. 2 (February 1998): 155–70. http://dx.doi.org/10.1016/s0167-9236(97)00053-5.

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Partridge, Mike, and Lew Perren. "An integrated framework for activity‐based decision making." Management Decision 36, no. 9 (November 1998): 580–88. http://dx.doi.org/10.1108/00251749810239469.

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Escobar-González, Diego, Mélany S. Singaña-Chasi , Juan González-Vergara , Bolívar Erazo , Miguel Zambrano, Darwin Acosta , Marcos Villacís , Mario Guallpa , Braulio Lahuatte, and Diego H. Peluffo-Ordóñez. "Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes." Water 14, no. 19 (September 23, 2022): 2998. http://dx.doi.org/10.3390/w14192998.

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In fields such as hydrology, meteorology, and civil engineering, the study of extreme precipitation events is useful to prevent rainfall related disasters. A widely-used practice to address such a problem is by using statistical inferences about precipitation intensity, duration and frequency (IDF). Despite of its great usefulness, the selection of the adequate data and methodology to characterize precipitation’s IDF in the urban area of high-altitude Andean cities remains an open issue for practitioners and decision makers. In this sense, the present paper develops an approach to schematically build the IDF curves for a sub-basin of the study case Andean city, Quito–Ecuador. The here-used data holds information from 12 meteorological stations. Then, the IDF curves are obtained by using both a parametrization followed by a Gamma distribution and a 3-parameter cumulative distribution function, also called mnp. Finally, the curve-fitting process is estimated numerically by adjusting the Sherman equation. Results (average R2=0.9) demonstrated that the framework is well-suited for the high-altitude regime. As a noticeable outcome, a novel spatial interpolation-based analysis is introduced, which enabled the identification of extreme rainfall events according to its duration.
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Dissertations / Theses on the topic "Integrated Decision Framework (IDF)"

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Guo, Jia. "IDSF II: Integrated Decision Support Framework and its Application for Dispatching Policy Based on Part Similarity." Ohio University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1331606843.

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May, Nadine, Edeltraud Guenther, and Peer Haller. "Environmental Indicators for the Evaluation of Wood Products in Consideration of Site-Dependent Aspects: A Review and Integrated Approach." Multidisciplinary Digital Publishing Institute (MDPI), 2017. https://tud.qucosa.de/id/qucosa%3A30691.

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On the way towards a more biobased economy, the sustainable use of global wood resources remains a challenge as several trade-offs arise, e.g., from an increased energetic use of wood, an increased use of innovative but probably less recyclable wood composites, or from the need to conserve other forest ecosystem services. The aim of this study is to identify existing environmental indicators and methods for an evaluation of the sustainability of wood products in consideration of all life cycle stages, site-dependent aspects and later use in corporate decision-making. We chose a systematic literature review to answer the research questions explicitly and comprehensively. Qualitative content analysis was used to code indicators and scientific methods according to the Pressure-State-Response (PSR) framework. The sample (N = 118) is characterized by a high number of life cycle assessment (LCA) case studies. In 51% of all studies, the study authors use a combination of different methods. A total of 78 indicators and 20 site-dependent aspects could be identified in the sample. The study findings represent a first step towards a holistic environmental assessment of wood products.
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Sanguinetti, Paola. "Integrated performance framework to guide facade retrofit." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45814.

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The façade retrofit market faces some key barriers: the selection of performance criteria and the reliability of the performance data. On the demand side, the problem is approached from an investment perspective which creates "split incentives" between the stakeholders who pay for the investment and those who benefit from it. On the supply side, there is an inherent complexity in modeling these options because of the incomplete knowledge of the physical and cost parameters involved in the performance evaluation. The thermal comfort of the building occupant is an important component of the retrofit performance assessment. This research attempts to fill a gap in the approach to façade retrofit decision by 1) quantifying uncertainties in these three dimensions of performance, 2) incorporating new financing models available in the retrofit market, 3) considering the target and risk attitude of the decision maker. The methodology proposed in this research integrates key indicators for delivery process, environmental performance, and investment performance. The purpose is to provide a methodological framework for performance evaluation. A residential case study is conducted to test the proposed framework. Three retrofit scenarios including the financing structure are examined. Each façade retrofit scenario is then evaluated based on the level of confidence to meet or exceed a specific target improvement for the Net Present Value and the risk to fall below a minimum improvement threshold. The case study results confirm that risk must be considered for more reliable façade retrofit decision-making. Research findings point to further research needed to expand the understanding of the interdependencies among uncertain parameters.
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Samuels, Micah T. (Micah Todd) 1969. "A framework to achieve integrated decision-making for manufacturing strategy." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/84335.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2002.
Includes bibliographical references (leaf 65).
by Micah T. Samuels.
S.M.
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Ghaderi, Mohammad. "Preference Disaggregation: Towards an Integrated Framework." Doctoral thesis, Universitat Ramon Llull, 2017. http://hdl.handle.net/10803/404257.

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La desagregació de preferències pretén capturar models de preferències mitjançant la descomposició de la informació obtinguda a partir de preferències indirectes que estan en forma d'eleccions holístiques o judicis. Des d'una perspectiva d'ajuda a la presa de decisions multi criteri, aquesta informació es pren com a punt de partida en un procés d'inferència que condueix a model de preferències basat en punts de vista, generalment conflictius, que conjuntament formen una base per a la decisió. L'estudi de les decisions humanes ha rebut una atenció creixent en els últims anys des de diverses disciplines, que inclouen des de les ciències del comportament (anàlisi de decisions, desagregació de preferències), la intel·ligència artificial (aprenentatge de preferències), fins a l'economia i el màrqueting (teoria de l'elecció). Les tres corrents, encara que originades per diferents filosofies, convergeixen ràpidament cap a una comprensió integral de les preferències, que és l'element bàsic per a les decisions i accions humanes. Aquesta tesi doctoral aprofundeix en aquesta àrea de recerca mitjançant la introducció d'un marc analític integrat que permet capturar les preferències d'una forma complexa a partir de l'observació d'opcions holístiques, decisions i judicis.
La desagregación de preferencias pretende capturar modelos de preferencias mediante la descomposición de la información obtenida con preferencias indirectas que están en forma de elecciones holísticas o juicios. Desde una perspectiva de ayuda a la toma de decisiones multicriterio, dicha información se toma como punto de partida en un proceso de inferencia que conduce a modelo de preferencias basado en puntos de vista, generalmente conflictivos, que conjuntamente forman una base para la decisión. El estudio de las decisiones humanas ha recibido una atención creciente en los últimos años desde varias disciplinas, que incluyen desde las ciencias del comportamiento (análisis de decisiones, desagregación de preferencias), la inteligencia artificial (aprendizaje de preferencias), hasta la economía y el márqueting (teoría de la elección). Las tres corrientes, aunque originadas por diferentes filosofías, convergen rápidamente hacia una comprensión integral de las preferencias, que es el elemento básico para las decisiones y acciones humanas. Esta tesis doctoral profundiza en esta área de investigación mediante la introducción de un marco analítico integrado que permite capturar las preferencias de una forma compleja a partir de la observación de opciones holísticas, decisiones y juicios.
Preference disaggregation aims at capturing preference models by decomposing indirect preference information that are in form of holistic choices or judgments. From a multiple criteria decision aiding perspective, such information is taken as input to an inference procedure that yields to a preference model based on all the, usually conflicting, points of view that together form a basis for the judgments. Studying human judgments and choices has received increasing attention in the last few years from several disciplines, including behavioral science (decision analysis, preference disaggregation), artificial intelligence (preference learning), and economics and marketing (choice modeling). The three streams, although originated from different philosophies, are converging rapidly to a comprehensive understanding of human preferences, that is the main element of decisions and actions. This doctoral dissertation sheds light on this phenomenon by introducing an integrated analytical framework that allows capturing preferences of a complex form by observing holistic choices, decisions, and judgments.
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Hadley, Michael P. Wiest James A. "Integrated theater assessment profiling system /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FHadley.pdf.

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Thesis (M.S. in Information Technology Management and M.S. in Computer Science)--Naval Postgraduate School, September 2002.
Thesis advisor(s): Alexander Bordetsky, Richard S. Coté. Michael P. Hadley received M.S. degrees in Information Technology Management and in Computer Science. James A. Wiest received a M.S. degree in Information Technology Management. Also available online.
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Lee, Seung Ho. "INTEGRATED HUMAN DECISION BEHAVIOR MODELING UNDER AN EXTENDED BELIEF-DESIRE-INTENTION FRAMEWORK." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/193788.

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Modeling comprehensive human decision behaviors in a unified and extensible framework is quite challenging. In this research, an integrated Belief-Desire-Intention (BDI) modeling framework is proposed to represent the human decision behavior, whose submodules (Belief, Desire, Decision-Making, and Emotion modules) are based on a Bayesian belief network (BBN), Decision-Field-Theory (DFT), a probabilistic depth first search (PDFS) technique, and a BBN-reinforcement (Q-Learning) hybrid learning algorithm. A key novelty of the proposed model is its ability to represent various human decision behaviors such as decision-making, decision-planning, and learning in a unified framework.To this end, first, we extend DFT (a widely known psychological model for preference evolution) to cope with dynamic environments. The extended DFT (EDFT) updates the subjective evaluation for the alternatives and the attention weights on the attributes via BBN under the dynamic environment. To illustrate and validate the proposed EDFT, a human-in-the-loop experiment is conducted for a virtual stock market. Second, a new approach to represent learning (a dynamic evolution process of underlying modules) in the human decision behavior is proposed under the context of the BDI framework. Our research focuses on how a human adjusts his perception process (involving BBN) dynamically against his performance (depicted via a confidence index) in predicting the environment as part of his decision-planning. To this end, Q-learning is employed and further developed.To mimic realistic human behaviors, attributes of the BDI framework are reverse-engineered from human-in-the-loop experiments conducted in the Cave Automatic Virtual Environment (CAVE). The proposed modeling framework is demonstrated for a human's evacuation behaviors in response to a terrorist bomb attack. The constructed simulation has been used to test the impact of several factors (e.g., demographics, number of police officers, information sharing via speakers) on evacuation performance (e.g., average evacuation time, percentage of casualties).In addition, the proposed human decision behavior model is extended for decisions of many stakeholders that form a complex social network in the community-based development of software systems.To the best of our knowledge, the proposed human decision behavior modeling framework is one of the first efforts to represent various human decision behaviors (e.g., decision-making, decision-planning, dynamic learning) in a unified BDI framework.
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Adnane, Alaoui M'Hamdi. "Modelling and analysis of consumer's multi-decision process : a new integrated stochastic modelling framework." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/9415.

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Interest in understanding Human Beings’ behaviour can be traced back to the early days of mankind. However, interest in consumer behaviour is relatively recent. In fact, it is only since the end of World War II and following economic prosperity of some nations (e.g., U.S.A.) that the world witnessed the rise of a new discipline in the early 1950s; namely, Marketing Research. By the end of the 1950s, academic papers on modelling and analysis of consumer behaviour started to appear (Ehrenberg, 1959; Frank, 1962). The purpose of this research is to propose an integrated decision framework for modelling consumer behaviour with respect to store incidence, category incidence, brand incidence, and size incidence. To the best of our knowledge, no published contribution integrates these decisions within the same modelling framework. In addition, the thesis proposes a new estimation method as well as a new segmentation method. These contributions aim at improving our understanding of consumer behaviour before and during consumers’ visits to the retail points of a distribution network, improving consumer behaviour prediction accuracy, and assisting with inventory management across distribution networks. The proposed modelling framework is hybrid in nature in that it uses both non-explanatory and explanatory models. To be more specific, it uses stochastic models; namely, probability distributions, to capture the intrinsic nature of consumers (i.e., inner or built-in behavioural features) as well as any unexplained similarities or differences (i.e., unobserved heterogeneity) in their intrinsic behaviour. In addition, the parameters of these probability distribution models could be estimated using explanatory models; namely, multiple regression models, such as logistic regression. Furthermore, the thesis proposes a piece-wise estimation procedure for estimating the parameters of the developed stochastic models. Also proposed is a three-step segmentation method based on the information provided by the quality of fit of stochastic models to consumer data so as to identify which model better predicts which market segments. In the empirical investigation, the proposed framework was used to study consumer behaviour with respect to individual alternatives of each decision, individual decisions, and all decisions. In addition, the proposed segmentation method was used to segment the panellists into infrequent users, light to medium users, and heavy users, on one hand, and split loyals, loyals, and hardcore loyals, on the other hand. Furthermore, the empirical evidence suggests that the proposed piece-wise estimation procedure outperforms the standard approach for all models and decision levels. Also, the empirical results revealed that the homogeneous MNL outperforms both the heterogeneous NMNL and DMNL when each one of these distributions is applied to all decisions, which suggests the relative homogeneity in consumer decision making at the aggregate or integrated decision level. Last, but not least, through the use of the proposed framework, the thesis sheds light on the importance of consumer choice sequence on the quality of predictions, which affects the quality of segmentation. The reader is referred to chapter 3 for details on these contributions.
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Manap, Norpadzlihatun. "Risk-based decision making framework for the integrated environmental management of dredging sediments." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/18052.

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Many environmental management tools have been developed aiming to reduce the impacts of dredging and protect the environment. As this has typically not been done in an integrated way that takes into account the socio-economic, environmental, technical and managerial aspects of dredging, there is a need to develop an integrated decision making tool to manage the impacts of dredging and help decision makers make sustainable decisions concerning dredging. The aim of this study was to develop a risk-based decision making framework for the integrated environmental management of dredging sediments in order to reduce the impacts of dredging and to lower the cost of environmental quality analysis and management. Selection of the best sediment management option using the risk-based approach of integrated environmental management has the potential to help effectively balance and prioritize the various socio-economic, environmental, technical and managerial aspects of dredging. The proposed framework will therefore utilize this concept throughout its six developmental steps. The first step reviews the literature on the impact of dredging and the two main factors that determine its magnitude, namely sediments and dredging technology. In order to manage the impacts of dredging efficiently, the relationship between scientific evidence and dredging activities will be assessed in the second developmental step. This step evaluates historical evidence from three dredging projects undertaken between 2006 and 2008 on the rivers of Sungai Sitiawan and Sungai Dinding, Perak, Malaysia. Monitoring and fish toxicological data from these projects are analyzed to determine their relationship with dredging activities performed in these rivers, with Geographic Information System (GIS) software used to illustrate the relationships found. The third developmental step assesses dredging problems other than the environmental impacts using Driving force-Pressure-State-Impact-Response (DPSIR) analysis, an IEM-based tool. This tool was employed in Malaysia’s dredging industry using interviews and a questionnaire-based survey. Dredging experts, including representatives from port operators, manufacturing companies and dredging contractors, were interviewed in 2008, with the socio-economy and management being found as the main drivers, together with environmental impacts, affecting dredging stakeholders in Malaysia. In 2010, further dredging experts (including marine ecologists, registered chemists, professional and chartered engineers, environmental consultants, university professors and environmental analysts) responded to the questionnaire, with results suggesting that governance of dredging in Malaysia is weak and that it is essential for Malaysia to review its current dredging environmental management tools and practices. The fourth developmental step develops the first stage (screening) of the proposed framework based on understanding provided by the three steps developed previously and demonstrated using Malaysia as a case study. This screening stage utilizes the historical dredging monitoring data and the contamination level in media data into Ecological Risk Assessment (ERA) phases, which have been adjusted for benefits in cost, time and simplicity. Using case studies from Malaysia, the fifth developmental step (Tier 1) shows how Multi-Criteria Decision Analysis (MCDA) can be used to analyze and prioritize dredging areas based on environmental, socio-economic and managerial criteria and is demonstrated for the Tier 1 stage. The results from MCDA will be integrated into Ecological Risk Assessment (ERA) to characterize the degree of contamination found in the areas. Priority areas, their degree of contamination and other concerns are then identified and brought forward to the sixth developmental step (Tier 2 stage). The Tier 2 stage is demonstrated using previous findings and analyzed using MCDA, in order to identify the best sediment management option, accounting for the economic, environmental and technical aspects of dredging.
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Lewe, Jung-Ho. "An Integrated Decision-Making Framework for Transportation Architectures: Application to Aviation Systems Design." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-04132005-204114/unrestricted/Jung-Ho%5FLewe%5F200505%5Fphd.pdf.

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Thesis (Ph. D.)--Aerospace Engineering, Georgia Institute of Technology, 2005.
Amy R. Pritchett, Committee Member ; Moore, Mark D., Committee Member ; Wilhite, Alan, Committee Member ; Schrage, Daniel P., Committee Chair ; Mavris, Dimitri N., Committee Co-Chair ; DeLaurentis, Daniel A., Committee Member. Vita. Includes bibliographical references.
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Books on the topic "Integrated Decision Framework (IDF)"

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Shaw, Michael. An integrated framework for applying machine learning in intelligent decision support systems. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1988.

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Ismailov, Nariman. Scientific basis of environmental biotechnology practical. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1048434.

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The monograph is devoted to modern biotechnology, which allows to solve urgent environmental problems in all areas of modern society. Described the current use of biotechnological methods for environmental protection. The common assessment of the environment, the analysis bioaccumulating capacity of the biosphere, presented information on bio-ecological potential of human society. Considers the issues of technological bio-energetics, obtaining biodegradable materials, different fields of organic waste, bioremediation of soils contaminated with petroleum products, pesticides, heavy metals, solid waste processing, utilization of oil sludge and drill cuttings, cleaning of soil and groundwater from contamination, the use of biotechnology in the oil industry and others Described the modern problems of organic agriculture and the progress in this area. Discussed microbiological, biochemical and technological fundamentals of these processes. The prospects of the use of biotechnology in integrated environmental protection. Discusses the modern view of ecological culture and ecological civilization in the framework of the problems under consideration. Designed for teachers, students, engineers, ecologists, agricultural workers, civil servants, decision-makers, engaged in the manufacture engaged in the development of programs for socio-ecological sustainable development.
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Fund, International Monetary. Modernizing the Legal Framework for Surveillance - an Integrated Surveillance Decision. International Monetary Fund, 2012.

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Fund, International Monetary. Modernizing the Legal Framework for Surveillance - an Integrated Surveillance Decision. International Monetary Fund, 2012.

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Fund, International Monetary. Modernizing the Legal Framework for Surveillance - an Integrated Surveillance Decision. International Monetary Fund, 2012.

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Weiss, Illa. The Resource Transfer Problem: A Framework for Integrated Scheduling and Routing Problems. Springer, 2018.

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IAEA. Framework for an Integrated Risk Informed Decision Making Process: A Report by the International Nuclear Safety Group. International Atomic Energy Agency, 2011.

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Brauner, Florian. Securing Public Transportation Systems: An Integrated Decision Analysis Framework for the Prevention of Terrorist Attacks as Example. Springer Vieweg, 2016.

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IAEA. Framework for an Integrated Risk Informed Decision Making Process: A Report by the International Nuclear Safety Group. International Atomic Energy Agency, 2014.

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Hidalgo, Mijail Eduardo Arias. Decision Framework for Integrated Wetland-River Basin Management in a Tropical and Data Scarce Environment: UNESCO-IHE PhD Thesis. Taylor & Francis Group, 2017.

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Book chapters on the topic "Integrated Decision Framework (IDF)"

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Jamieson, D. G. "A Conceptual Framework for an Integrated Operational Information and Decision-Supported System for Thames Water Utilities." In Decision Support Systems, 283–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76048-8_12.

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Dursun, Mehtap, and Nazli Goker. "An Integrated Fuzzy Decision Framework for Neuromarketing Technology Selection Problem." In 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018, 195–200. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04164-9_27.

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Kovur, Krishna Mohan, and Ravi Kumar Gedela. "An Integrated Approach of BOCR Modeling Framework for Decision Tool Evaluation." In Springer Series in Reliability Engineering, 109–48. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36518-9_5.

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Bousdekis, Alexandros, Nikos Papageorgiou, Babis Magoutas, Dimitris Apostolou, and Gregoris Mentzas. "A Framework for Integrated Proactive Maintenance Decision Making and Supplier Selection." In Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 416–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66923-6_49.

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Carvalho, J. B., M. L. R. Varela, G. D. Putnik, J. E. Hernández, and R. A. Ribeiro. "A Web-Based Decision Support System for Supply Chain Operations Management Towards an Integrated Framework." In Decision Support Systems III - Impact of Decision Support Systems for Global Environments, 104–17. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11364-7_10.

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Ibrahim, Osama, David Sundgren, and Aron Larsson. "An Integrated Decision Support System Framework for Strategic Planning in Higher Education Institutions." In Group Decision and Negotiation. A Process-Oriented View, 237–45. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07179-4_27.

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Doumpos, Michael, and Constantin Zopounidis. "Disaggregation Analysis and Statistical Learning: An Integrated Framework for Multicriteria Decision Support." In Applied Optimization, 215–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-92828-7_7.

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Maia, Isabela Ribeiro Damaso. "Central Bank of Brazil: Investment Decision-Making in an Integrated Risk Management Framework." In Asset Management at Central Banks and Monetary Authorities, 323–33. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43457-1_19.

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Vieira, Miguel, Fábio Coelho, Cátia da Silva, Bruna Mota, Joana Guapo, Rodrigo Macedo, Bruno Gonçalves, et al. "Towards an Integrated Decision-Support Framework for the New Generation of Manufacturing Systems." In Springer Proceedings in Mathematics & Statistics, 171–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85476-8_14.

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Akti, Sercan, and Hilmi Berk Celikoglu. "An Integrated Decision-Making Framework for Shuttle Bus Selection Using DEMATEL and MULTIMOORA Methods." In Computer Aided Systems Theory – EUROCAST 2019, 161–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45096-0_20.

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Conference papers on the topic "Integrated Decision Framework (IDF)"

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MENDOZA, JORGE, JOCHEN KÖHLER, ELIZABETH BISMUT, and DANIEL STRAUB. "Integrated Life-cycle Decision Framework for Structural Systems." In Structural Health Monitoring 2019. Lancaster, PA: DEStech Publications, Inc., 2019. http://dx.doi.org/10.12783/shm2019/32272.

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Nosratinia, Mohsen, Henrik Lind, Stina Carlsson, and Niklas Mellegard. "A holistic decision-making framework for integrated safety." In 2010 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2010. http://dx.doi.org/10.1109/ivs.2010.5547975.

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Shahata, Khaled, and Tarek Zayed. "Integrated Decision-Support Framework for Municipal Infrastructure Asset." In Pipeline Division Specialty Conference 2010. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41138(386)145.

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Papakostas, N., D. Mourtzis, K. Bechrakis, G. Chryssolouris, D. Doukas, and R. Doyle. "A FLEXIBLE AGENT BASED FRAMEWORK FOR MANUFACTURING DECISION-MAKING." In Flexible Automation and Integrated Manufacturing 1999. Connecticut: Begellhouse, 2023. http://dx.doi.org/10.1615/faim1999.670.

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Mentzas, G., B. Assimakopoulos, T. Goumas, P. Capros, and J. e. Samouilidis. "An integrated framework for regional energy-economy planning." In 1986 25th IEEE Conference on Decision and Control. IEEE, 1986. http://dx.doi.org/10.1109/cdc.1986.267410.

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Ekin, Tahir. "An Integrated Decision Making Framework for Medical Audit Sampling." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2019. http://dx.doi.org/10.24251/hicss.2019.498.

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CHANDRASEKHARAN, RESHMA, and RAJESH NATARAJAN V. "A Framework for Integrated Decision-making In Railroad Networks." In International Joint Conference on Industrial Engineering and Operations Management. International Joint Conference on Industrial Engineering and Operations Management, 2023. http://dx.doi.org/10.14488/ijcieom2023_abst_0044_37747.

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Yang, Shanliang, Chi Zhang, Peng Wang, and Guo Xue. "Integrated decision making framework for weapon application under uncertain environment." In 2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2014. http://dx.doi.org/10.1109/itaic.2014.7065094.

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Guerrero, P., J. Ruiz del Solar, M. Romero, and L. Herrera. "An integrated multi-agent decision making framework for robot soccer." In 2009 6th Latin American Robotics Symposium (LARS 2009). IEEE, 2009. http://dx.doi.org/10.1109/lars.2009.5418321.

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Arinez, Jorge, Stephan Biller, Alexander Brodsky, Daniel Menasce, Guodong Shao, and Joao P. Sousa. "Decision-Guided Self-Architecting Framework for integrated distribution and Energy Management." In 2011 IEEE PES Innovative Smart Grid Technologies (ISGT). IEEE, 2011. http://dx.doi.org/10.1109/isgt.2011.5759190.

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Reports on the topic "Integrated Decision Framework (IDF)"

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Patil, Lalit, Lakshmi Srinivas, Krishna Murthy, Debasish Dutta, and Rachuri Sudarsan. Toward an Integrated Decision Support Framework for Sustainability Analysis. National Institute of Standards and Technology, April 2013. http://dx.doi.org/10.6028/nist.ir.7909.

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Kirkman, L. K., John K. Hiers A., L. L. Smith, L. M. Conner, S. L. Zeigler, M. Mack, J. R. Walters, and R. J. Mitchell. Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach. Fort Belvoir, VA: Defense Technical Information Center, June 2015. http://dx.doi.org/10.21236/ada626412.

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Kirkman, L. K., John K. Hiers, A. Barnett, L. L. Smith, L. M. Conner, S. L. Zeigler, M. Mack, J. R. Walters, and R. J. Mitchell. Developing Dynamic Reference Models and a Decision Support Framework for Southeastern Ecosystems: An Integrated Approach. Fort Belvoir, VA: Defense Technical Information Center, June 2015. http://dx.doi.org/10.21236/ada626414.

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Bhattacharyya, Debangsu, Fernando Lima, Mario Perhinschi, Richard Turton, Urmila Diwekar, Temitayo Bankole, Ghassan Al-Sinbol, Gaurav Mirlekar, and Berhane Gebreslassie. Development of Integrated Biomimetic Framework with Intelligent Monitoring, Cognition and Decision Capabilities for Control of Advanced Energy Plants. Office of Scientific and Technical Information (OSTI), February 2018. http://dx.doi.org/10.2172/1546598.

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Lasko, Kristofer, and Elena Sava. Semi-automated land cover mapping using an ensemble of support vector machines with moderate resolution imagery integrated into a custom decision support tool. Engineer Research and Development Center (U.S.), November 2021. http://dx.doi.org/10.21079/11681/42402.

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Land cover type is a fundamental remote sensing-derived variable for terrain analysis and environmental mapping applications. The currently available products are produced only for a single season or a specific year. Some of these products have a coarse resolution and quickly become outdated, as land cover type can undergo significant change over a short time period. In order to enable on-demand generation of timely and accurate land cover type products, we developed a sensor-agnostic framework leveraging pre-trained machine learning models. We also generated land cover models for Sentinel-2 (20m) and Landsat 8 imagery (30m) using either a single date of imagery or two dates of imagery for mapping land cover type. The two-date model includes 11 land cover type classes, whereas the single-date model contains 6 classes. The models’ overall accuracies were 84% (Sentinel-2 single date), 82% (Sentinel-2 two date), and 86% (Landsat 8 two date) across the continental United States. The three different models were built into an ArcGIS Pro Python toolbox to enable a semi-automated workflow for end users to generate their own land cover type maps on demand. The toolboxes were built using parallel processing and image-splitting techniques to enable faster computation and for use on less-powerful machines.
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Sett, Dominic, Florian Waldschmidt, Alvaro Rojas-Ferreira, Saut Sagala, Teresa Arce Mojica, Preeti Koirala, Patrick Sanady, et al. Climate and disaster risk analytics tool for adaptive social protection. United Nations University - Institute for Environment and Human Security, March 2022. http://dx.doi.org/10.53324/wnsg2302.

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Adaptive Social Protection (ASP) as discussed in this report is an approach to enhance the well-being of communities at risk. As an integrated approach, ASP builds on the interface of Disaster Risk Management (DRM), Climate Change Adaptation (CCA) and Social Protection (SP) to address interconnected risks by building resilience, thereby overcoming the shortcomings of traditionally sectoral approaches. The design of meaningful ASP measures needs to be informed by specific information on risk, risk drivers and impacts on communities at risk. In contrast, a limited understanding of risk and its drivers can potentially lead to maladaptation practices. Therefore, multidimensional risk assessments are vital for the successful implementation of ASP. Although many sectoral tools to assess risks exist, available integrated risk assessment methods across sectors are still inadequate in the context of ASP, presenting an important research and implementation gap. ASP is now gaining international momentum, making the timely development of a comprehensive risk analytics tool even more important, including in Indonesia, where nationwide implementation of ASP is currently under way. OBJECTIVE: To address this gap, this study explores the feasibility of a climate and disaster risk analytics tool for ASP (CADRAT-ASP), combining sectoral risk assessment in the context of ASP with a more comprehensive risk analytics approach. Risk analytics improve the understanding of risks by locating and quantifying the potential impacts of disasters. For example, the Economics of Climate Adaptation (ECA) framework quantifies probable current and expected future impacts of extreme events and determines the monetary cost and benefits of specific risk management and adaptation measures. Using the ECA framework, this report examines the viability and practicality of applying a quantitative risk analytics approach for non-financial and non-tangible assets that were identified as central to ASP. This quantitative approach helps to identify cost-effective interventions to support risk-informed decision making for ASP. Therefore, we used Nusa Tenggara, Indonesia, as a case study, to identify potential entry points and examples for the further development and application of such an approach. METHODS & RESULTS: The report presents an analysis of central risks and related impacts on communities in the context of ASP. In addition, central social protection dimensions (SPD) necessary for the successful implementation of ASP and respective data needs from a theoretical perspective are identified. The application of the quantitative ECA framework is tested for tropical storms in the context of ASP, providing an operational perspective on technical feasibility. Finally, recommendations on further research for the potential application of a suitable ASP risk analytics tool in Indonesia are proposed. Results show that the ECA framework and its quantitative modelling platform CLIMADA successfully quantified the impact of tropical storms on four SPDs. These SPDs (income, access to health, access to education and mobility) were selected based on the results from the Hazard, Exposure and Vulnerability Assessment (HEVA) conducted to support the development of an ASP roadmap for the Republic of Indonesia (UNU-EHS 2022, forthcoming). The SPDs were modelled using remote sensing, gridded data and available global indices. The results illustrate the value of the outcome to inform decision making and a better allocation of resources to deliver ASP to the case study area. RECOMMENDATIONS: This report highlights strong potential for the application of the ECA framework in the ASP context. The impact of extreme weather events on four social protection dimensions, ranging from access to health care and income to education and mobility, were successfully quantified. In addition, further developments of CADRAT-ASP can be envisaged to improve modelling results and uptake of this tool in ASP implementation. Recommendations are provided for four central themes: mainstreaming the CADRAT approach into ASP, data and information needs for the application of CADRAT-ASP, methodological advancements of the ECA framework to support ASP and use of CADRAT-ASP for improved resilience-building. Specific recommendations are given, including the integration of additional hazards, such as flood, drought or heatwaves, for a more comprehensive outlook on potential risks. This would provide a broader overview and allow for multi-hazard risk planning. In addition, high-resolution local data and stakeholder involvement can increase both ownership and the relevance of SPDs. Further recommendations include the development of a database and the inclusion of climate and socioeconomic scenarios in analyses.
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Rheinberger, Christoph, and Nicolas Treich. Catastrophe aversion: social attitudes towards common fates. Fondation pour une culture de sécurité industrielle, June 2016. http://dx.doi.org/10.57071/882rpq.

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In light of climate change and other existential threats, policy commentators sometimes suggest that society should be more concerned about catastrophes. This document reflects on what is, or should be, society’s attitude toward such low-probability, high-impact events. The question underlying this analysis is how society considers (1) a major accident that leads to a large number of deaths; (2) a large number of small accidents that each kill one person, where the two situations lead to the same total number of deaths. We first explain how catastrophic risk can be conceived of as a spread in the distribution of losses, or a “more risky” distribution of risks. We then review studies from decision sciences, psychology, and behavioral economics that elicit people’s attitudes toward various social risks. This literature review finds more evidence against than in favor of catastrophe aversion. We address a number of possible behavioral explanations for these observations, then turn to social choice theory to examine how various social welfare functions handle catastrophic risk. We explain why catastrophe aversion may be in conflict with equity concerns and other-regarding preferences. Finally, we discuss current approaches to evaluate and regulate catastrophic risk, with a discussion of how it could be integrated into a benefit-cost analysis framework.
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Gender mainstreaming in local potato seed system in Georgia. International Potato Center, 2020. http://dx.doi.org/10.4160/9789290605645.

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This report presents the study findings associated with the project “Enhancing Rural Livelihoods in Georgia: Introducing Integrated Seed Health Approaches to Local Potato Seed Systems” in Georgia. It also incorporates information from the results of gender training conducted within the framework of the USAID Potato Program in Georgia. The study had three major aims: 1) to understand the gender-related opportunities and constraints impacting the participation of men and women in potato seed systems in Georgia; 2) to test the multistakeholder framework for intervening in root, tuber, and banana (RTB) seed systems as a means to understand the systems themselves and the possibilities of improving gender-related interventions in the potato seed system; and 3) to develop farmers’ leadership skills to facilitate women’s active involvement in project activities. Results of the project assessment identified certain constraints on gender mainstreaming in the potato seed system: a low level of female participation in decision-making processes, women’s limited access to finances that would enable their greater involvement in larger scale potato farming, and a low awareness of potato seed systems and of possible female involvement in associated activities. Significantly, the perception of gender roles and stereotypes differs from region to region in Georgia; this difference is quite pronounced in the target municipalities of Kazbegi, Marneuli, and Akhalkalaki, with the last two having populations of ethnic minorities (Azeri and Armenian, respectively). For example, in Marneuli, although women are actively involved in potato production, they are not considered farmers but mainly as assistants to farmers, who are men. This type of diversity (or lack thereof) results in a different understanding of gender mainstreaming in the potato seed system as well. Based on the training results obtained in three target regions—Akhalkalaki, Akhaltsikhe, and Marneuli—it is evident that women are keen on learning new technologies and on acquiring updated agricultural information, including on potato production. It is also clear that women spend as much time as men do on farming activities such as potato production, particularly in weeding and harvesting. However, women are heavily burdened with domestic work, and they are not major decision-makers with regard to potato variety selection, agricultural investments, and product sales, nor with the inclusion of participants in any training provided. Involving women in project activities will lead to greater efficiency in the potato production environment, as women’s increased knowledge will certainly contribute to an improved production process, and their new ideas will help to improve existing production systems, through which women could also gain confidence and power. As a general recommendation, it is extremely important to develop equitable seed systems that take into consideration, among other factors, social context and the cultural aspects of local communities. Thus, understanding male and female farmers’ knowledge may promote the development of seed systems that are sustainable and responsive to farmers’ needs and capacities.
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