Relevant bibliographies by topics / Generation of decision

Contents

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

Academic literature on the topic 'Generation of decision'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Generation of decision"

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Furquim, Fernando, Kristen M. Glasener, Meghan Oster, Brian P. McCall, and Stephen L. DesJardins. "Navigating the Financial Aid Process: Borrowing Outcomes among First-Generation and Non-First-Generation Students." ANNALS of the American Academy of Political and Social Science 671, no. 1 (2017): 69–91. http://dx.doi.org/10.1177/0002716217698119.

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A growing number and proportion of students rely on student loans to assist with the costs of postsecondary education. Yet little is known about how first-generation students use federal loans to finance their education. In this article, we examine each of the decisions that culminate in student indebtedness: the decision to apply for aid, whether to borrow, and how much to borrow. We find significant differences by generational status at each step of the student borrowing process. First-generation students are more likely to apply for financial aid, borrow, and take out larger loans than their peers, after controlling for a rich set of covariates for costs and financial resources. We find that student characteristics cannot fully explain these observed differences in borrowing outcomes across generations.
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S., Sharmila, and Dharunya Santhosh D. "Rule Generation for Gallbladder Cancer Prediction Using Decision Tree Classifier." Bonfring International Journal of Data Mining 8, no. 1 (2018): 01–03. http://dx.doi.org/10.9756/bijdm.8354.

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Ismail, Hafiszah, and Shazwan Mohamed Shaari. "Housing decision: the choice between location, house and neighbourhood among malaysian generations." MATEC Web of Conferences 266 (2019): 01026. http://dx.doi.org/10.1051/matecconf/201926601026.

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Literatures on property development evidence demographics and population as one of the main factors influence property development process. Demographic changes would affect the economic and the property market thus contributes to dramatic change that affects the generations. The differences of attitudes and values between generations resulted diversification of housing decisions and the choice made. The generations are the population categorised by the age cohort; namely The Baby Boomers, Generation X (Gen- X), Generation Y (Gen-Y) and Generation Z (Gen-Z). The aim of this study is to provide an in-depth overview on housing decisions of choices made between location, house and neighbourhood among Malaysian generations. This study employs mixed methods approaches with Selangor, Malaysia as case study. The data were analysed using the Pair-wise and Analytic Hierarchy Process (AHP). The analysis reveals the Malaysian generations’ housing choices as; (1) House; (2) Location and; (3) Neighbourhood. The findings show similarities and differences of housing decision by generations on the choices between location, house and neighbourhood. The findings is significant in providing better understanding to the actors of property development on the main housing choice attraction factors of the generations which useful for better housing provisions.
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乔, 莹. "Minimal Decision Tree Generation for Multi-Label Decision Tables." Computer Science and Application 06, no. 10 (2016): 617–28. http://dx.doi.org/10.12677/csa.2016.610076.

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Rahman, Mahfuzur, and Soon Sheng Gan. "Generation Y investment decision: an analysis using behavioural factors." Managerial Finance 46, no. 8 (2020): 1023–41. http://dx.doi.org/10.1108/mf-10-2018-0534.

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PurposeThis study aims to investigate the behavioural factors that affect individual investment decisions among Generation Y in Malaysia.Design/methodology/approachFive human behaviours such as trait anger, trait anxiety, overconfidence, herding factor and self-monitoring have been examined using a sample of 502 respondents.FindingsThe results reveal that trait anxiety and overconfidence are negatively related to investment decisions while self-monitoring is positively associated. Trait anger and herding behaviour do not significantly affect investment decision. The results also show that investment decision-making is significantly distinct when examined by gender, employment status and income allocation. Among these three variables, the result shows that only self-employed individuals and those in the 5–10 per cent income allocation group are marginally positive vis-à-vis investment decision-making.Originality/valueThe outcomes of this study will expand investors' knowledge about the financial decision-making process.
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Klopotan, Igor, Ana Aleksić, and Nikolina Vinković. "Do Business Ethics and Ethical Decision Making Still Matter: Perspective of Different Generational Cohorts." Business Systems Research Journal 11, no. 1 (2020): 31–43. http://dx.doi.org/10.2478/bsrj-2020-0003.

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AbstractBackground: Research in business ethics shows that individual differences can influence one’s ethical behaviour. In addition, variability in attitudes towards ethical issues among different generations is emphasized. Still, results are inconclusive and call for an additional examination of possible generational differences with regard to ethics and ethical values.Objectives: Our objective is to test if the perception of the importance of business ethics, attitudes towards ethical issues and aspects influencing ethical behaviour, differ among the four generations currently present in the workforce.Methods/Approach: Theoretical implications are empirically tested on a sample of 107 individuals, members of Baby Boomers, Generation X, Millennials and Generation Z.Results: In general, the results indicate that there are little or no generational differences related to the analysed aspects of business ethics. The significant difference is present only in the importance given to factors that influence ethical decision-making: (i) formal rules and procedures, (ii) performance management system and (iii) job pressures, between the members of Generation Z and older generations.Conclusions: In spite of employee diversity, ethics continues to present an important aspect of the business environment. Thus, organizations need to be oriented towards creating ethical leaders and a positive ethical climate that ensures that ethical values and behaviours are present throughout the organization.
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Mujtaba, Bahaudin, and Gimol Thomas. "Leading And Managing Disparate Generations In Cross-Cultural Learning Organizations." College Teaching Methods & Styles Journal (CTMS) 1, no. 1 (2011): 41. http://dx.doi.org/10.19030/ctms.v1i1.5218.

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The enclosed literature focuses on learning about the various generations of the workforce and techniques that employers can utilize to organize collaborative teams in todays multigenerational and multicultural workplaces. Trainers and teachers can use this material to provide effective skills for managers that deal with a multi-generation of employees. Furthermore, educators can use appropriate teaching techniques with different generations of students since teachers of working adults are likely to have diverse generations of learners in their classes. There are at least four different generations in todays workforce that are categorized as traditionalists (Veterans), baby boomers, generation X, and generation Y individuals. Managers should be aware of the personality characteristics of individuals in all generations as well as their cultural backgrounds, and act accordingly. The document further discusses how decision-making, for managers of any generation, is a very critical and time-consuming procedure, and how managerial decisions do affect the companys processes dramatically. Managers should always make certain, regardless of their personal interests, likes and dislikes, that their decisions are appropriate for each generation of employees and their organizations. Organizational learning, from a systems perspective, is discussed as an effective method of understanding the processes and strategies suitable for an organization. In order to create a learning organization, managers need to emphasize teamwork and practice group activities that effectively involve people of all generations in the decision making processes. Following the eight facets of Values Driven Management can guide and focus everyones energies toward the common vision set forth by the company. Besides dealing with a multi-generation of employees, international managers face an even more complex task since they also deal with various cultures. Hence, a multi-cultural manager should acquire appropriate cultural knowledge regarding the local norms, mores and customs to effectively work with individuals of different generations throughout the world.
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Ismail, Hafiszah, and Shazwan Mohamed Shaari. "THE LOCATION, HOUSE, OR NEIGHBOURHOOD CHOICE PREFERENCES AMONG MALAYSIAN HOUSING GENERATIONS." Journal of Surveying, Construction & Property 11, no. 2 (2020): 64–74. http://dx.doi.org/10.22452/jscp.sp2020no1.6.

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Demographics and population have been evidenced as part of the key elements that affect property development. Changes in demographics specifically may influence the economy including the property market hence influences the generations. Behaviour and values divergences among various age groups (generations) resulted in a variance of housing choices and decisions made. The generations are the population categorised by the age cohort including the Baby Boomers, Generation X (Gen-X), Generation Y (Gen-Y) and Generation Z (Gen-Z). This study aims to offer a comprehensive overview of housing decisions via choices made between location, house, and neighbourhood between Malaysian generations. This study uses mixed methods approaches with the Selangor state as a case study. The Pair-wise and Analytic Hierarchy Process (AHP) methods of data analyses used for consumer behavioural decision-making studies were adopted in this study to determine the preferences of future housing choice between location, house and neighbourhood. The analysis uncovers house, location and neighbourhood as the prime housing choices factors of the Malaysian generations. The findings evidenced likeliness and differences of housing decision by generations on the choices made. Most importantly, the findings are significant in contributing better understanding and grant indications to the local authorities and housing developers on the main attraction factors of housing choice preferred by generations that may be very valuable for the enhancement of future Malaysian housing provisions.
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Huo, Xiao Jiang, Hao Cheng, Yu Hong Wan, Zhong Jing Liu, and Yun Feng Luo. "Risk Decision Analysis on the Electricity Transaction of Power Enterprises in Electricity and Derivative Transactions." Advanced Materials Research 860-863 (December 2013): 2614–21. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2614.

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In the environment of electricity and derivative transaction, the risk hedging and metastasis of power right transaction in China are needed to establish the risk decision-making for the generated energy/right on electricity generation side. And it will be the key point focused by decision-makers in power enterprises. The planning management of two-stage market transaction risk was conducted with the hedging function of generation rights transaction to establish a risk decision model of comprehensive electricity transaction. The relationship between the electricity price of two-stage market and the identity parameters of transaction participants was given for solving the model. The whole transaction process of generating companies was divided into two stages. The risk decision framework of block transaction was established for the independent transaction decision-making of each segment and the overall optimization. The results of example simulation verified the effectiveness and feasibility of the decisions.
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Gao, Jing. "Decision Tree Generation Algorithm without Pruning." Applied Mechanics and Materials 441 (December 2013): 731–37. http://dx.doi.org/10.4028/www.scientific.net/amm.441.731.

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On the generation of decision tree based on rough set model, for the sake of classification accuracy, existing algorithms usually partition examples too specific. And it is hard to avoid the negative impact caused by few special examples on decision tree. In order to obtain this priority in traditional decision tree algorithm based on rough set, the sample is partitioned much more meticulously. Inevitably, a few exceptional samples have negative effect on decision tree. And this leads that the generated decision tree seems too large to be understood. It also reduces the ability in classifying and predicting the coming data. To settle these problems, the restrained factor is introduced in this paper. For expanding nodes in generating decision tree algorithm, besides traditional terminating condition, an additional terminating condition is involved when the restrained factor of sample is higher than a given threshold, then the node will not be expanded any more. Thus, the problem of much more meticulous partition is avoided. Furthermore, the size of decision tree generated with restrained factor involved will not seem too large to be understood.
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Dissertations / Theses on the topic "Generation of decision"

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Alpagut, Merih Ayse. "A Decision Support System For Electricity Generation Investment." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612211/index.pdf.

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In the recent years, ongoing debates in the mineral sector has shown that efficient use of natural resources is of vital importance as the use of minerals is essential for modern living. Especially, in the context of sustainable development, it is required that mineral resources should be exploited to maximize the contribution to the well being of current generation without depriving the potential for future generations to meet their own needs. The aim of this thesis is to develop a decision support system using system dynamics methodology where
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Fleishman, Lauren Alyse. "Public Decision-making about Low-Carbon Electricity Generation." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/75.

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To mitigate the effects of climate change, the U.S. will need a widespread deployment of energy efficiency efforts and low-carbon electricity generating technologies including nuclear, wind, natural gas, and coal with carbon capture and sequestration (CCS), technologies that separate CO2 emissions from the flue-gas of fossil fuel power plants and sequester it in deep underground geological formations. The feasibility of this strategy will partially depend on public acceptance of these technologies as part of a national energy policy. To varying degrees, public misconceptions and knowledge gaps exist for each of these low-carbon technologies. Thus, people need balanced and comparative information to make informed decisions about which low-carbon electricity technologies and portfolios to support. In this thesis, we describe paper-based and computer-based communications presenting multi-attribute descriptions about the costs, benefits, risks and limitations of ten electricity technologies and low-carbon portfolios composed of those technologies. Participants are first asked to rank the technologies under a hypothetical scenario where future power plant construction in Pennsylvania must meet a CO2 emissions constraint. Next, participants attend small group meetings where they rank seven portfolios that meet a specific CO2 emission limit. In a subsequent study, participants instead construct their own low-carbon portfolio using a computer decision tool that restricts portfolio designs to realistic technology combinations. We find that our participants could understand and consistently use our communications to help inform their decisions about low-carbon technologies. We conclude that our informed participants preferred energy efficiency, nuclear, and coal (gasification) with CCS, as well as diverse portfolios including these technologies. The thesis continues with a retrospective view for the value of research that elicits general public opinions of CCS and that develops communications to educate people about low-carbon electricity generation. In the latter, we find that the knowledge of science teachers may be insufficient to correct common public misconceptions about low-carbon technologies among their students. Thus, the communications we developed for this thesis could also benefit science teachers. Overall, we conclude that the computer tool, supplemental materials and procedure developed for this thesis may be valuable for educating the general public about low-carbon electricity generation.
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Achrenius, William, and Törnkvist Martin Bergman. "GRAPH GENERATION ALGORITHMS FOR THE GRADE DECISION CANVAS." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-41200.

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Development in the field of software architecture, from the early days in the mid-80’s, has been significant. From purely technical descriptions to decision based architectural knowledge, software architecture has seen fundamental changes to its methodologies and techniques. Architectural knowledge is a resource that is managed and stored by companies, this resource is valuable because it can be reused and analysed to improve future development. Companies today are interested in the reasoning behind the software architecture. This reasoning is mainly formulated through the architectural decisions made during development. For architectural decisions to be easier to analyse they need to be stored in a way that enables use of common analytical tools so that comparisons between decisions are consistent and relevant. Additionally, it is also important to have enough data, which leads us to the problem that, preferably, all the individual architectural knowledge cases must be structured and stored. To do this we present a tool that uses graph generation algorithms to generate architectural knowledge as graphs based on an architectural decision canvas called GRADE. This enables multiple decision cases to be encoded through graphs that can be used to analyse relationships and balances between different architectural knowledge elements represented through nodes and edges within a graph.
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McKinley, Nathan D. "A Decision Theoretic Approach to Natural Language Generation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1386188714.

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Arikenbi, Temitayo. "Decision Support for Multi-Criteria Energy Generation Problem." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6073.

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In this study, an attempt is made to apply Decision Support Systems (DSS) in planning for the expansion of energy generation infrastructure in Nigeria. There is an increasing demand for energy in that country, and the study will try to show that DSS modelling, using A Mathematical Programming Language (AMPL) as the modelling tool, can offer satisficing results which would be a good decision support resource for motivating how to expend investment for energy generation.<br>+46707267798
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Wingfield, James. "Approaches to test set generation using binary decision diagrams." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/20.

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This research pursues the use of powerful BDD-based functional circuit analysis to evaluate some approaches to test set generation. Functional representations of the circuit allow the measurement of information about faults that is not directly available through circuit simulation methods, such as probability of random detection and test-space overlap between faults. I have created a software tool that performs experiments to make such measurements and augments existing test generation strategies with this new information. Using this tool, I explored the relationship of fault model difficulty to test set length through fortuitous detection, and I experimented with the application of function-based methods to help reconcile the traditionally opposed goals of making test sets that are both smaller and more effective.
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Cobb, Bradley Douglas. "Using ordered partial decision diagrams for manufacture test generation." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/498.

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Because of limited tester time and memory, a primary goal of digital circuit manufacture test generation is to create compact test sets. Test generation programs that use Ordered Binary Decision Diagrams (OBDDs) as their primary functional representation excel at this task. Unfortunately, the use of OBDDs limits the application of these test generation programs to small circuits. This is because the size of the OBDD used to represent a function can be exponential in the number of the function's switching variables. Working with these functions can cause OBDD-based programs to exceed acceptable time and memory limits. This research proposes using Ordered Partial Decision Diagrams (OPDDs) instead as the primary functional representation for test generation systems. By limiting the number of vertices allowed in a single OPDD, complex functions can be partially represented in order to save time and memory. An OPDD-based test generation system is developed and techniques which improve its performance are evaluated on a small benchmark circuit. The new system is then demonstrated on larger and more complex circuits than its OBDD-based counterpart allows.
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Grobys, Sebastian. "Random generation of Bayesian Networks and Markov Decision Processes." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=81336.

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Markov Decision Processes (MDPs) and Bayesian Networks (BNs) are two very different but equally prominent frameworks for modeling stochastic environments. As empirical testing and the use of randomized search algorithms gain increasing importance in machine learning and artificial intelligence, there exists a growing need for random models; in particular MDPs and BNs. This thesis aims at providing a focused review of the field of random model generation. We begin by motivating in detail the need for rigorous random MDP and BN generation and survey relevant past research efforts. We outline the different problems involved in generating the models and then present our main contribution, a random graph algorithm specifically designed for the uniform generation of graph structures underlying random MDPs and BNs.
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Gundavarapu, Madhavi. "RuleGen – A Rule Generation Application Using Multiset Decision Tables." University of Akron / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=akron1140111266.

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Tan, Kian Moh Terence. "Tactical plan generation software for maritime interdiction using conceptual blending theory." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Dec%5FTan%5FKian.pdf.

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Thesis (M.S. in Modeling, Virtual Environments, and Simulation (MOVES))--Naval Postgraduate School, December 2007.<br>Thesis Advisor(s): Hiles, John. "December 2007." Description based on title screen as viewed on January 18, 2008. Includes bibliographical references (p. 87-91). Also available in print.
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Books on the topic "Generation of decision"

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Chappell, Alan R. Knowledge-based reasoning in the Paladin Tactical Decision Generation System. Langley Research Center, 1993.

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Raik, Jaan. Hierarchical test generation for digital circuits represented by decision diagrams. Tallinn Technical University, 2001.

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K, Davis Paul. Enhancing strategic planning with massive scenario generation: Theory and experiments. RAND Corporation, 2007.

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Hobbs, B. F. The next generation of electric power unit commitment models. Edited by ebrary Inc. Kluwer Academic, 2002.

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Tregub, Ilona, and Tat'yana Goroshnikova. A simulation model of decision-making. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1030572.

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A tutorial on the basics of simulation modelling in problems of managerial decision-making, illustrated by numerous practical examples. Contains material contributing to the deepening of theoretical knowledge and practical skills of the student in the application of computer simulation modeling of economic, social and technological systems for the formation, adoption and implementation of managerial decisions.&#x0D; Meets the requirements of Federal state educational standards of higher education of the last generation.&#x0D; Intended for graduate students in the study of disciplines "Mathematical and instrumental methods of decision support" (area of training 09.04.03 Applied Informatics, master's program "Applied information science in analytical Economics") and "simulation modeling of economic and information systems (advanced course)" (specialty 01.04.02 - "Applied mathematics and computer science", master program "Quantitative methods in Finance and Economics"). Will be useful to undergraduate students as well as middle managers and senior managers to understand the methods of computer modeling in support of decision making and developing them on the basis of sound management decisions.
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Stroebel, Michael. Engineering electronic negotiations: A guide to electronic negotiation technologies for the design and implementation of next-generation electronic markets : future silkroads of eCommerce. Kluwer Academic/Plenum, 2003.

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Enterprise knowledge portals: Next-generation portal solutions for dynamic information access, better decision making, and maximum results. AMACOM, 2003.

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Zelko, Frank S. Generation, culture, and prejudice: The Japanese American decision to cooperate with evacuation and internment during World War II. Monash Publications in History, Dept. of History, Monash University, 1992.

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Lombardi, Pio. Multi criteria optimization of an autonomous virtual power plant: (Multikriterielle Optimierung eines autonomen virtuellen Kraftwerks). Otto-von-Guericke-Universität Magdeburg, 2011.

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Dismantling the myths. Beacon Hill Press of Kansas City, 1997.

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Book chapters on the topic "Generation of decision"

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Eisenführ, Franz, Martin Weber, and Thomas Langer. "The generation of probabilities." In Rational Decision Making. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02851-9_7.

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Vostrikov, Anton, and Stanislav Chernyshev. "Training Sample Generation Software." In Intelligent Decision Technologies 2019. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8303-8_13.

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Hovy, Eduard H. "Some Pragmatic Decision Criteria in Generation." In Natural Language Generation. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3645-4_1.

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Toda, Takahisa, Shogo Takeuchi, Koji Tsuda, and Shin-ichi Minato. "Superset Generation on Decision Diagrams." In WALCOM: Algorithms and Computation. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15612-5_28.

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Grana, Costantino, Manuela Montangero, Daniele Borghesani, and Rita Cucchiara. "Optimal Decision Trees Generation from OR-Decision Tables." In Image Analysis and Processing – ICIAP 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24085-0_46.

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Cuena, José. "Knowledge Architectures for Real Time Decision Support." In Second Generation Expert Systems. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77927-5_29.

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Kim, Jeong Ah, Min Hee Choi, and InSook Cho. "Implementation of Clinical Decision Support System Architecture." In Future Generation Information Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27142-7_43.

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Drankou, Pavel, and Sergey Zykov. "Chat-Based Approach Applied to Automatic Livestream Highlight Generation." In Intelligent Decision Technologies. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5925-9_37.

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Van de Velde, Rudi. "Computer Assisted Clinical Decision Making." In Hospital Information Systems — The Next Generation. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77617-5_27.

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Van de Velde, Rudi. "The Make or Buy Decision." In Hospital Information Systems — The Next Generation. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77617-5_8.

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Conference papers on the topic "Generation of decision"

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Trout, Theron, Stephen M. Russell, Andre V. Harrison, et al. "Collaborative mixed reality (MxR) and networked decision making." In Next-Generation Analyst VI, edited by James Llinas and Timothy P. Hanratty. SPIE, 2018. http://dx.doi.org/10.1117/12.2309959.

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Yuan, JiangJun. "Decision models of Multi Periods Closed Loop Supply Chain with Remanufacturing under Centralized and Decentralized Decision Making." In Next Generation Computer and Information Technology 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.111.04.

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Yushchenko, Vladyslav, Nikita Araslanov, and Stefan Roth. "Markov Decision Process for Video Generation." In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2019. http://dx.doi.org/10.1109/iccvw.2019.00190.

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Jannson, Tomasz, Wenjian Wang, Thomas Forrester, Andrew Kostrzewski, Christian Veeris, and Thomas Nielsen. "Decision generation tools and Bayesian inference." In SPIE Defense + Security, edited by Edward M. Carapezza. SPIE, 2014. http://dx.doi.org/10.1117/12.2049028.

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Yim, Hyung Rok. "Technology Transfer and Innovative Startups' Decision Criterion." In Next Generation Computer and Information Technology 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.63.12.

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Tang, Wei, Gui Li, Xinyuan Bao, Fudong Nian, and Teng Li. "MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation." In 2020 Chinese Control And Decision Conference (CCDC). IEEE, 2020. http://dx.doi.org/10.1109/ccdc49329.2020.9164755.

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Peng, Liu, Liu Wen, Yang Li, Li Qiang, Duan Min, and Dai Yue. "Approved Rough Set Knowledge Acquisition Approach in Intelligent Decision System." In Future Generation Communication and Networking 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.73.20.

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Isaksson, Lennart, and Markus Fiedler. "Seamless Connectivity in WLAN and Cellular Networks with Multi Criteria Decision Making." In 2007 Next Generation Internet Networks. IEEE, 2007. http://dx.doi.org/10.1109/ngi.2007.371198.

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Dong, Jun, Guiyuan Xue, Hongxing Sun, and Rong Li. "Study on risk decision modeling of generation investment with distributed generation." In The 3rd International Conference on Application of Materials Science and Environmental Materials (AMSEM2015). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813141124_0021.

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Breslin, C., and M. J. F. Gales. "Complementary System Generation using Directed Decision Trees." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366918.

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Reports on the topic "Generation of decision"

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CALMUS, R. B. Failed Melter Disposal Alternative Generation & Analysis & Decision Report. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/808559.

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Brandt, James, Leelinda Dawson, Jeffrey Johnson, et al. Second Generation Weather Impacts Decision Aid Applications and Web Services Overview. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada587530.

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CALMUS, R. B. Immobilized High Level Waste (HLW) Interim Storage Alternative Generation and analysis and Decision Report 2nd Generation Implementing Architecture. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/804782.

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CALMUS, R. B. Immobilized high-level waste interim storage alternatives generation and analysis and decision report. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/782306.

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Daye, Tony. Integrated Simulation Development and Decision Support Tool-Set for Utility Market and Distributed Solar Power Generation. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1176914.

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Brewer, Jeffrey D. Risk perception & strategic decision making :general insights, a framework, and specific application to electricity generation using nuclear energy. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/881056.

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Cormier, Dallas, Sherwin Edra, Michael Espinoza, et al. Final Technical Report for Contract No. DE-EE0006332, "Integrated Simulation Development and Decision Support Tool-Set for Utility Market and Distributed Solar Power Generation". Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1273587.

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Javed, Umair, Aiza Hussain, and Hassan Aziz. Demanding Power: Contentious Politics and Electricity in Pakistan. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/ids.2021.047.

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This paper explores Pakistan’s electricity supply crisis that lasted from 2007 to 2015, and the ensuing contention that shaped public discourse and political events in the country. During this period, which witnessed electricity outages of up to 14 hours per day, 456 incidents of contention took place, with just under 20 per cent escalating into some form of violence. Electricity became the number one political issue in the country and was integral in shaping the outcomes of the 2013 General Election. Following the election, public authorities undertook extensive investment to expand capacity and ensure consistency in supply while evading questions about affordability and sustainability. On the surface, this appears to be a case of extensive protest working towards shaping state responsiveness. And it is true that the state now sees supply as a non-negotiable aspect in the social contract with citizens. However, a range of factors contributed to the chronology and the selective, generation-focused nature of this response. On the other hand, citizen inclusion and participation in decision-making, and issues of affordability and sustainability, which impact vulnerable and disempowered groups the most, remain absent from the political and policy conversation around energy. This suggests that while protests were useful in generating a short-term response, their long-term legacy in empowerment related outcomes is less visible.
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Elshurafa, Amro. The Value of Storage in Electricity Generation: A Qualitative and Quantitative Review. King Abdullah Petroleum Studies and Research Center, 2020. http://dx.doi.org/10.30573/ks--2020-dp23.

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Electricity storage technology has many useful applications in the energy sector and can complement variable renewable power generation to achieve a low-carbon future. For policymakers, utilities, and investors, effective decisions in this context require an understanding of how to determine the monetary value of storage.
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Singer, Michael J., and Robert T. Hays. New Directions in Training Simulation Research: Generating, Handling, and Delivering Empirically Based Decision Support. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada156797.

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