Journal articles: 'Generation of decision'

1

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

2

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

4

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

6

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

7

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

8

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

9

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

10

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

11

Bond, Samuel D., Kurt A. Carlson, and Ralph L. Keeney. "Improving the Generation of Decision Objectives." Decision Analysis 7, no. 3 (2010): 238–55. http://dx.doi.org/10.1287/deca.1100.0172.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Hiromitsu, Toshiaki, Yoko Kitakaji, Keishiro Hara, and Tatsuyoshi Saijo. "What Do People Say When They Become “Future People”?―Positioning Imaginary Future Generations (IFGs) in General Rules for Good Decision-Making." Sustainability 13, no. 12 (2021): 6631. http://dx.doi.org/10.3390/su13126631.

Full text

Abstract:

In public decisions with long-term implications, decisions of the present generation will affect long-term welfare, including future generations. However, only the present generation is able to participate in such decision-making processes. In this study, we invited “Imaginary Future Generations” (IFGs), as participants in a discussion who take on the role of members of future generations to argue on behalf of their future interests to engage in present-day deliberations among residents of a Japanese town. Through analysis, it was seen that the deliberations among IFGs rose interest in issues that are related to common fundamental needs across generations. While the cognitive aspects of interpersonal reactivity, which measure the reactions of one individual to the observed experiences of another, were seen as useful in arguing for the interests of future generations, it was suggested that the environment for deliberation had a significant impact on the ability to effectively take on the role of members of future generations. Finally, this paper positioned IFGs within the broad context of general rules for good decision-making, based on an analysis of these deliberations and in light of philosophical arguments such as the veil of ignorance by John Rawls.

APA, Harvard, Vancouver, ISO, and other styles

13

Parvez, Iram, Jianjian Shen, Ishitaq Hassan, and Nannan Zhang. "Generation of Hydro Energy by Using Data Mining Algorithm for Cascaded Hydropower Plant." Energies 14, no. 2 (2021): 298. http://dx.doi.org/10.3390/en14020298.

Full text

Abstract:

The thirst of the Earth for energy is lurching towards catastrophe in an era of increasing water shortage where most of the power plants are hydroelectric. The hydro-based power systems are facing challenges in determining day-ahead generation schedules of cascaded hydropower plants. The objective of the current study is to find a speedy and practical method for predicting and classifying the future schedules of hydropower plants in order to increase the overall efficiency of energy by utilizing the water of cascaded hydropower plants. This study is significant for water resource planners in the planning and management of reservoirs for generating energy. The proposed method consists of data mining techniques and approaches. The energy production relationship is first determined for upstream and downstream hydropower plants by using multiple linear regression. Then, a cluster analysis is used to find typical generation curves with the help of historical data. The decision tree algorithm C4.5, Iterative Dichotomiser 3-IV, improved C4.5 and Chi-Squared Automatic Interaction Detection are adopted to quickly predict generation schedules, and detailed comparison among different algorithms are made. The decision tree algorithms are solved using SIPINA software. Results show that the C4.5 algorithm is more feasible for rapidly generating the schedules of cascaded hydropower plants. This decision tree algorithm is helpful for the researchers to make fast decisions in order to enhance the energy production of cascaded hydropower plants. The major elements of this paper are challenges and solution of head sensitive hydropower plants, using the decision-making algorithms for producing the generation schedules, and comparing the generation from the proposed method with actual energy production.

APA, Harvard, Vancouver, ISO, and other styles

14

Parvez, Iram, Jianjian Shen, Ishitaq Hassan, and Nannan Zhang. "Generation of Hydro Energy by Using Data Mining Algorithm for Cascaded Hydropower Plant." Energies 14, no. 2 (2021): 298. http://dx.doi.org/10.3390/en14020298.

Full text

Abstract:

The thirst of the Earth for energy is lurching towards catastrophe in an era of increasing water shortage where most of the power plants are hydroelectric. The hydro-based power systems are facing challenges in determining day-ahead generation schedules of cascaded hydropower plants. The objective of the current study is to find a speedy and practical method for predicting and classifying the future schedules of hydropower plants in order to increase the overall efficiency of energy by utilizing the water of cascaded hydropower plants. This study is significant for water resource planners in the planning and management of reservoirs for generating energy. The proposed method consists of data mining techniques and approaches. The energy production relationship is first determined for upstream and downstream hydropower plants by using multiple linear regression. Then, a cluster analysis is used to find typical generation curves with the help of historical data. The decision tree algorithm C4.5, Iterative Dichotomiser 3-IV, improved C4.5 and Chi-Squared Automatic Interaction Detection are adopted to quickly predict generation schedules, and detailed comparison among different algorithms are made. The decision tree algorithms are solved using SIPINA software. Results show that the C4.5 algorithm is more feasible for rapidly generating the schedules of cascaded hydropower plants. This decision tree algorithm is helpful for the researchers to make fast decisions in order to enhance the energy production of cascaded hydropower plants. The major elements of this paper are challenges and solution of head sensitive hydropower plants, using the decision-making algorithms for producing the generation schedules, and comparing the generation from the proposed method with actual energy production.

APA, Harvard, Vancouver, ISO, and other styles

15

Hara, Keishiro, Yoko Kitakaji, Hiroaki Sugino, et al. "Effects of experiencing the role of imaginary future generations in decision-making: a case study of participatory deliberation in a Japanese town." Sustainability Science 16, no. 3 (2021): 1001–16. http://dx.doi.org/10.1007/s11625-021-00918-x.

Full text

Abstract:

AbstractTo ensure sustainability, overcoming intergenerational conflict is vital, and social systems supporting decision-making that takes into account the benefits to future generations is thus critically important. One promising approach in such social systems is introducing “imaginary future generations” who act as representatives for the benefits of future generation in actual, present-day decision-making situations. In this study, we explore the effects and implications of participants’ experiences as representatives of imaginary future generation. We conducted a citizens’ participatory debate on creating a vision and appropriate policies associated with public facilities and housing in a town in Japan, and examined how the thinking patterns and decisions of the participants shifted as a result of debating from the perspectives of both current and imaginary future generations. Based on analyses of a questionnaire and the keywords in answers to a worksheet provided to the participants, we demonstrate that through their experiences as representatives of imaginary future generations, a clear shift in perspective occurred, with increases in self-reflective viewpoint. We also found that the shared viewpoints of the current and future generations existed within the individuals. These findings hint at how we can develop institutions and social systems that facilitate sustainable decision-making.

APA, Harvard, Vancouver, ISO, and other styles

16

Stanley, Donald E., and Rune Nyrup. "Strategies in Abduction: Generating and Selecting Diagnostic Hypotheses." Journal of Medicine and Philosophy: A Forum for Bioethics and Philosophy of Medicine 45, no. 2 (2020): 159–78. http://dx.doi.org/10.1093/jmp/jhz041.

Full text

Abstract:

Abstract We distinguish three aspects of medical diagnosis: generating new diagnostic hypotheses, selecting hypotheses for further pursuit, and evaluating their probability in light of the available evidence. Drawing on Peirce’s account of abduction, we argue that hypothesis generation is amenable to normative analysis: physicians need to make good decisions about when and how to generate new diagnostic hypothesis as well as when to stop. The intertwining relationship between the generation and selection of diagnostic hypotheses is illustrated through the analysis of a detailed clinical case study. This interaction is not adequately captured by the existing probabilistic, decision-theoretic models of the threshold approach to clinical decision-making. Instead, we propose to conceptualize medical diagnosis in terms of strategic reasoning.

APA, Harvard, Vancouver, ISO, and other styles

17

Li, Xu, Mingming Sun, and Ping Li. "Multi-Agent Discussion Mechanism for Natural Language Generation." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6096–103. http://dx.doi.org/10.1609/aaai.v33i01.33016096.

Full text

Abstract:

We introduce the discussion mechanism into the multiagent communicating encoder-decoder architecture for Natural Language Generation (NLG) tasks and prove that by applying the discussion mechanism, the communication between agents becomes more effective. Generally speaking, an encoder-decoder architecture predicts target-sequence word by word in several time steps. At each time step of prediction, agents with the discussion mechanism predict the target word after several discussion steps. In the first step of discussion, agents make their choice independently and express their decision to other agents. In the next discussion step, agents collect other agents’ decision to update their own decisions, then express the updated decisions to others again. After several iterations, the agents make their final decision based on a well-communicated situation. The benefit of the discussion mechanism is that multiple encoders can be designed as different structures to fit the specified input or to fetch different representations of inputs.We train and evaluate the discussion mechanism on Table to Text Generation, Text Summarization and Image Caption tasks, respectively. Our empirical results demonstrate that the proposed multi-agent discussion mechanism is helpful for maximizing the utility of the communication between agents.

APA, Harvard, Vancouver, ISO, and other styles

18

Reisenwitz, Timothy H., and Jie G. Fowler. "Information Sources and the Tourism Decision-making Process: An Examination of Generation X and Generation Y Consumers." Global Business Review 20, no. 6 (2019): 1372–92. http://dx.doi.org/10.1177/0972150919848938.

Full text

Abstract:

Generation Y (Gen Y) is becoming more important to marketers as its members continue to enter the workforce. Members of this generational cohort are essential to the tourism industry as they engage in planning vacations themselves. This study accesses the information search behaviour of Gen Y and makes comparisons to the previous generation, Generation X (Gen X). A demographic profile, including information sources, is compiled. Additionally, several proposals were developed based upon the literature regarding tourism information searches and decision-making for Gen X and Y. Key constructs were identified as part of the purchase decision process. They were analysed using primary research study data. Specifically, independent-samples t-tests were used to test the propositions. The analyses revealed that there were significant differences between generational cohorts regarding technology-based information sources, risk aversion and use of information sources. As a result, this study offers a synthesis of contingency factors affecting tourist decision-making. It provides both theoretical and managerial implications.

APA, Harvard, Vancouver, ISO, and other styles

19

Laborde, Sylvain, and Markus Raab. "The Tale of Hearts and Reason: The Influence of Mood on Decision Making." Journal of Sport and Exercise Psychology 35, no. 4 (2013): 339–57. http://dx.doi.org/10.1123/jsep.35.4.339.

Full text

Abstract:

In decision-making research, one important aspect of real-life decisions has so far been neglected: the mood of the decision maker when generating options. The authors tested the use of the take-the-first (TTF) heuristic and extended the TTF model to understand how mood influences the option-generation process of individuals in two studies, the first using a between-subjects design (30 nonexperts, 30 near-experts, and 30 experts) and the second conceptually replicating the first using a within-subject design (30 nonexperts). Participants took part in an experimental option-generation task, with 31 three-dimensional videos of choices in team handball. Three moods were elicited: positive, neutral, and negative. The findings (a) replicate previous results concerning TTF and (b) show that the option-generation process was associated with the physiological component of mood, supporting the neurovisceral integration model. The extension of TTF to processing emotional factors is an important step forward in explaining fast choices in real-life situations.

APA, Harvard, Vancouver, ISO, and other styles

20

Antonova, Nadezhda, Vera Rebiazina, Eduard Tunkevichus, and Petr Dvoryankin. "Identifying Generational Differences in Consumers' Decision to Use Shared Services in Russia." Moscow University Economics Bulletin 2020, no. 4 (2020): 146–80. http://dx.doi.org/10.38050/01300105202048.

Full text

Abstract:

Digital transformation and rapid development of Internet technologies in the past decade have contributed to the emergence of an innovative business model of collaborative consumption [Sheresheva, Katsoni, 2019] and the spread of collaborative consumption services (CCS). This study attempts to identify the factors that influence consumers’ decision to use CCS, drawing on generation differences formulated on the basis of generation theory, with a particular focus on Russian consumers. The factors highlighted as a result of systematization of existing studies have been tested on the data of a quantitative study conducted in the form of an online survey with a sample of 3635 Russian users of CCS. An explanatory factor analysis (EFA) helps the authors construct the framework of factors that influence the decision of three generations of consumers (X, Y, and Z) to use CCS. The analysis of variance between the groups (ANOVA) highlights the generation differences that affect the decision to use the CCS by representatives of three generations. The identified generation features are of both theoretical significance, serving as a basis for further research, and practical value for business, mitigating the risks of introducing new CCS to the market, allowing for the needs of various generations of users.

APA, Harvard, Vancouver, ISO, and other styles

21

Dimitriou, Christina K., and Emad AbouElgheit. "Understanding generation Z’s travel social decision-making." Tourism and hospitality management 25, no. 2 (2019): 311–34. http://dx.doi.org/10.20867/thm.25.2.4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Archibald, T. W., K. I. M. McKinnon, and L. C. Thomas. "On the Generation of Markov Decision Processes." Journal of the Operational Research Society 46, no. 3 (1995): 354. http://dx.doi.org/10.2307/2584329.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Archibald, T. W., K. I. M. McKinnon, and L. C. Thomas. "On the Generation of Markov Decision Processes." Journal of the Operational Research Society 46, no. 3 (1995): 354–61. http://dx.doi.org/10.1057/jors.1995.50.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Abadir, M. S., and H. K. Reghbati. "Functional test generation using binary decision diagrams." Computers & Mathematics with Applications 13, no. 5-6 (1987): 413–30. http://dx.doi.org/10.1016/0898-1221(87)90072-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Bakewell, Cathy, and Vincent‐Wayne Mitchell. "Generation Y female consumer decision‐making styles." International Journal of Retail & Distribution Management 31, no. 2 (2003): 95–106. http://dx.doi.org/10.1108/09590550310461994.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Hall, Lawrence O., and Petter Lande. "Generation of Fuzzy Rules from Decision Trees." Journal of Advanced Computational Intelligence and Intelligent Informatics 2, no. 4 (1998): 128–33. http://dx.doi.org/10.20965/jaciii.1998.p0128.

Full text

Abstract:

The paper introduces two ways to develop fuzzy rules, using decision trees, from data with continuous valued inputs and outputs. A key problem is dealing with continuous outputs. Output classes are created, then a crisp decision tree is created using a set of fuzzy output classes and letting each training example to partially belong to classes. Alternatively, a discrete set of fuzzy outputs classes is created that includes a selected group of overlaps, such as class A.75/class B.25. Training examples are then provided to a standard decision tree learning program, such as C4.5. In both cases, fuzzy rules are extracted from the resulting decision tree. Output classes must be created for a case in which examples belong to discrete but overlapping classes. We discuss tradeoffs of the two approaches to output class creation. An example of system performance uses a discrete set of overlapping classes on the Box-Jenkins gas furnace prediction problem and a function approximation problem. The learned rules provide effective control and function approximation.

APA, Harvard, Vancouver, ISO, and other styles

27

Srivastava, Praveen Ranjan, Parshad Patel, and Siddharth Chatrola. "Cause effect graph to decision table generation." ACM SIGSOFT Software Engineering Notes 34, no. 2 (2009): 1–4. http://dx.doi.org/10.1145/1507195.1507216.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Chang, Kang, and Chien-Hsing Wu. "Decision tree generation using fuzzy measure theory." Journal of the Chinese Institute of Industrial Engineers 14, no. 2 (1997): 115–22. http://dx.doi.org/10.1080/10170669.1997.10433376.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Glanzer, Martin, and Georg Ch Pflug. "Multiscale stochastic optimization: modeling aspects and scenario generation." Computational Optimization and Applications 75, no. 1 (2019): 1–34. http://dx.doi.org/10.1007/s10589-019-00135-4.

Full text

Abstract:

Abstract Real-world multistage stochastic optimization problems are often characterized by the fact that the decision maker may take actions only at specific points in time, even if relevant data can be observed much more frequently. In such a case there are not only multiple decision stages present but also several observation periods between consecutive decisions, where profits/costs occur contingent on the stochastic evolution of some uncertainty factors. We refer to such multistage decision problems with encapsulated multiperiod random costs, as multiscale stochastic optimization problems. In this article, we present a tailor-made modeling framework for such problems, which allows for a computational solution. We first establish new results related to the generation of scenario lattices and then incorporate the multiscale feature by leveraging the theory of stochastic bridge processes. All necessary ingredients to our proposed modeling framework are elaborated explicitly for various popular examples, including both diffusion and jump models.

APA, Harvard, Vancouver, ISO, and other styles

30

Marisa, Oktafalia, and Janny Rowena. "PENGARUH PRICE FAIRNESS TERHADAP REPURCHASE INTENTION HIGH END MAKE UP DAN SKIN CARE PADA GENERASI MILENIAL DI JAKARTA." Jurnal Bina Manajemen 8, no. 2 (2020): 67–77. http://dx.doi.org/10.52859/jbm.v8i2.87.

Full text

Abstract:

Millennial generation economy behavior is very different from previous generations. Both generation X or even further generations. Generations before millennial save money for the future. While the millennial generation save money for certain purposes. Savings are more short term. So it's easier to spend money on savings and tend not to be ready for future savings. Millennials often spend money beyond their capabilities, the more limited the goods, the more 'stylish' they feel if they can upload it to social media.This study wants to find out whether the purchase decision will then be followed by a repurchase decision on products that are classified as not cheap to satisfy the lifestyle of the generation. The analytical method that researchers use is multiple regression. The purpose of this study is to see whether there is an influence of price fairness on the repurchase intention of high end make up and skin care millennial generation?The results revealed that price fairness had a significant effect on repurchase intention.

APA, Harvard, Vancouver, ISO, and other styles

31

Prasad, Shantanu, Arushi Garg, and Saroj Prasad. "Purchase decision of generation Y in an online environment." Marketing Intelligence & Planning 37, no. 4 (2019): 372–85. http://dx.doi.org/10.1108/mip-02-2018-0070.

Full text

Abstract:

Purpose The purpose of this paper is to propose the concept of conviction in online environment. It examines the vital role of conviction and firm’s brand reputation while understanding the impact of social media usage and electronic word-of-mouth (EWOM) on purchase decisions of Generation Y. Design/methodology/approach Literature review resulted in six constructs – social media usage, EWOM, conviction, firm’s brand reputation and purchase intention and customer loyalty. The authors adopted the concept of conviction from another field of enquiry (organizational learning), conducted a qualitative study and an e-mail survey with post-graduate management students (Generation Y) of a university to examine the impact of social media and EWOM on customer purchase decision. Data were collected and analyzed with the help of structural equation modeling. Findings Results indicated that impact of social media usage and EWOM on purchase decision is mediated by conviction. Firm’s reputation as brand (perceived by the customer) moderates the relationship between EWOM and purchase intention in a manner that this relationship is significantly stronger if there is more positive brand reputation. Originality/value This study validates the concept of conviction in online environment. The purchase decision is defined as purchase intention and loyalty of the customer.

APA, Harvard, Vancouver, ISO, and other styles

32

Alshomary, Milad, and Henning Wachsmuth. "Toward audience-aware argument generation." Patterns 2, no. 6 (2021): 100253. http://dx.doi.org/10.1016/j.patter.2021.100253.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Dębicka, Olga, Tomasz Gutowski, and Adam Borodo. "Determinants of consumer purchasing decision in the e-commerce sector in Poland – generation perspective." SHS Web of Conferences 57 (2018): 01010. http://dx.doi.org/10.1051/shsconf/20185701010.

Full text

Abstract:

Development of the e-commerce sector in Poland over the last decade has been extremely dynamic. Both its value and share in GDP have increased, and the growth rate of on-line retail sales in Poland is currently one of the highest in Europe. The market development is driven either by changes in the behavior of consumers who are increasingly shopping online, as well as by growing number of e-stores. The main objective of this article is to identify the key factors determining purchasing decisions in the e-commerce sector in Poland by assessing the impact of differences in the characteristics of generations on their preferences regarding e-commerce. Each generation is significantly different from each other in terms of work, education, security, success in professional and personal life, as well as in terms of consumption. The characteristics of individual generations and the level of their digital competence have a significant impact on the way in which a given generation makes purchases and what is expected in the purchasing process. In order to establish the key determinants of on-line purchasing decision, a method of on-line survey was used. The quota sample included three generations of Polish Internet users: 260 people at the age between 25-37 (generation Y); 200 people at the ages between 38-50 (Generation X) and 100 people at the age between 51-70 (baby boomers generation). The structure of the article includes a presentation of the problem against the background of relevant literature, theoretical assumptions of the research, its findings, discussion and conclusions.

APA, Harvard, Vancouver, ISO, and other styles

34

Rahulan, Monika, Olga Troynikov, Chris Watson, Marius Janta, and Veit Senner. "Consumer behavior of generational cohorts for compression sportswear." Journal of Fashion Marketing and Management 19, no. 1 (2015): 87–104. http://dx.doi.org/10.1108/jfmm-05-2013-0072.

Full text

Abstract:

Purpose – The purpose of this paper is to understand the difference in purchase decision behavior of compression sportswear by Baby Boomers and Generation Y. Design/methodology/approach – Two methods were used for data collection: a simulation study with 17 Baby Boomers and 23 Generation Y subjects using eye-tracking technology; and a questionnaire from a sample of 82 Baby Boomers and 84 Generation Y consumers. Findings – Generation Y are more inquisitive and focus greatly on technical information. Baby Boomers are more confident with their choices, taking a shorter time to reach a purchase decision; they are more concerned with aspects that protect the wearer. Research limitations/implications – Limited demographic information was collected from participants in the simulation study, further research is required in this area. Practical implications – This study provides important insights into the purchase decision behavior of Baby Boomers and Generation Y for compression sportswear. By providing better understanding of some of the key drivers for purchase decisions it enables marketers to develop more effective marketing plans to engage with these important consumer groups. Social implications – The focus and findings of this study provide further understanding of the motivations of two significant consumer cohorts. This study provides further momentum to the body of cohort research already available. Originality/value – This study addresses a gap in literature with reference to the comparison of consumer behavior of generational cohorts when purchasing compression sportswear. Findings can be applied in other areas of sportswear and to other countries.

APA, Harvard, Vancouver, ISO, and other styles

35

Murakami, Shinsuke, Haruhisa Yamamoto, and Terufumi Toyota. "Potential Impact of Consumer Intention on Generation of Waste Photovoltaic Panels: A Case Study for Tokyo." Sustainability 13, no. 19 (2021): 10507. http://dx.doi.org/10.3390/su131910507.

Full text

Abstract:

As the world moves toward decarbonization, Japan is experiencing a rapid introduction of solar modules. However, the country does not have an adequate social system for managing waste photovoltaic (PV) panels. A waste generation estimate would be needed to do this effectively. Usually, waste generation estimation is performed by assuming that the lifespan distribution is primarily dependent on the mechanical life of the target item. However, considering the continuing improvement in panel quality, consumers consider replacement or disposal before mechanical failure of the product. Therefore, to study consumer intention, we surveyed potential consumer decision making on replacement/disposal via a questionnaire survey and attempted to include the result as part of our waste panel generation estimation, which, to our knowledge, has never previously been carried out. Considering the owners’ decision making, waste panel generation was in advance compared with the case where we only assumed the mechanical failure of panels and housings. This indicated a huge number of potentially reusable panel generations. In addition to mechanical failure, waste panel generation due to owners’ decisions should also be considered for estimating maximum potential waste. Policy makers should prepare the appropriate recycling social system in advance, considering the possible reuse of panels, which fits the current social situation oriented toward a circular economy.

APA, Harvard, Vancouver, ISO, and other styles

36

Palander, Teijo, and Lauri Vesa. "Tactical techno-economic analysis of electricity generation from forest, fossil, and wood waste fuels in a heating plant." Thermal Science 16, no. 3 (2012): 817–26. http://dx.doi.org/10.2298/tsci120106118p.

Full text

Abstract:

The Finnish energy industry is subject to policy decisions regarding renewable energy production and energy efficiency regulation. Conventional electricity generation has environmental side-effects that may cause global warming. Renewable fuels are superior because they offer near-zero net emissions. In this study, we investigated a heating mill's ability to generate electricity from forest fuels in southern Finland on a 1-year strategic decision-making horizon. The electricity-generation, -purchase, and -sales decisions are made using three different energy efficiency and forest technology rates. Then the decision environment was complicated by the sequence-dependent procurement chains for forest fuels (below-ground) on a tactical decision-making horizon. With this aim, fuel data of three forest fuel procurement teams were collected for 3 months. The strategic fuel procurement decisions were adjusted to the changed decision environment based on a tactical techno-economic analysis using forest technology rates. The optimal energy product and fuel mixtures were solved by minimizing procurement costs, maximizing production revenues, and minimizing energy losses.

APA, Harvard, Vancouver, ISO, and other styles

37

Liotine, Matthew. "Shaping the Next Generation Pharmaceutical Supply Chain Control Tower with Autonomous Intelligence." Journal of Autonomous Intelligence 2, no. 1 (2019): 56. http://dx.doi.org/10.32629/jai.v2i1.34.

Full text

Abstract:

This paper summarizes the findings of an industry panel study evaluating how new Autonomous Intelligence technologies, such as artificial intelligence and machine learning, impact the system and operational architecture of supply chain control tower (CT) implementations that serve the pharmaceutical industry. Such technologies can shift CTs to a model in which real-time information gathering, analysis, and decision making are possible. This can be achieved by leveraging these technologies to better manage decision complexity and execute decisions at levels that cannot otherwise be managed easily by humans. Some of the key points identified are in the areas of the fundamental capabilities that need to be supported and the improved level of decision visibility that they provide. We also consider some the challenges in achieving this, which include data quality and integrity, collaboration and data sharing across supply chain tiers, cross-system interoperability, decision-validation and organizational impacts, among others.

APA, Harvard, Vancouver, ISO, and other styles

38

Mochammad Rizaldy Insan Baihaqqy and Sugiyanto. "Investment Decisions Of Investors Based On Generation Groups." Coopetition : Jurnal Ilmiah Manajemen 11, no. 3 (2020): 189–96. http://dx.doi.org/10.32670/coopetition.v11i3.136.

Full text

Abstract:

This study aims to describe the effect of financial literacy in each generation group (Gen Z, Gen Y, Gen X, and Baby Boomers) in investment decision making. The method used in this research is quantitative descriptive. Respondents in this study were 137 investors who were members of the Indonesia Stock Exchange. Data collection was conducted in January 2020-February 2020. The results showed that the differences in financial literacy of each generation group had a significant influence on investment decisions. financial literacy and Investment experience is needed in the capital market in making investment decisions.

APA, Harvard, Vancouver, ISO, and other styles

39

Riddell, Patricia M. "Reward and threat in the adolescent brain: implications for leadership development." Leadership & Organization Development Journal 38, no. 4 (2017): 530–48. http://dx.doi.org/10.1108/lodj-03-2015-0062.

Full text

Abstract:

Purpose In the last 10 to 15 years, research studies have focused on the effects of differences across generations that result in differences in cultural expectations within the workplace (e.g. Arsenault, 2004). Different generations create shared attitudes to work and preferences for types of work which result in differences in their perception of, for instance, what makes a good leader or even the value of leadership within an organisation. While these generational differences are real, these analyses do not take into account differences that might result from the age, and therefore developmental stage, of the populations being assessed. The neuroscience literature clearly shows that there are maturational differences in the brain which are not complete until late teens to early 20s. It is therefore possible that some of the generational differences result from differences in processing ability resulting from structural immaturities in the brain. In particular, there are differences in the rate of maturation of areas of the brain related to reward sensitivity, threat sensitivity and regulation of behaviour which result in substantial differences in behaviour from adolescence through into adulthood. The purpose of this paper is to consider the effect of maturational changes in the brain on behaviours related to leadership and to outline ways in which these changes can be addressed in order to encourage young people to develop as leaders. This will include providing suitable experiences of leadership to encourage the faster development of the neural structures which underlie these capabilities. Design/methodology/approach Recent advances in neural imaging have resulted in a substantial increase in research investigating the development of the brain during adolescence. A literature review was conducted to find adolescent research that investigated decision making and risk taking. The data obtained were integrated and implications for leadership were drawn from an analysis of the resulting theoretical framework. Findings The research into decision-making processes in adolescents and younger adults points to a number of ways in which these differ from mature decision making. Younger people: (find it harder to inhibit behaviours) are more responsive to immediate reward; are more optimistic about the outcome of risky decisions; and are more responsive to social rewards (Jones et al., 2014). They also lack the experiences that adults use to distil the gist of a situation and therefore are more dependent on conscious, cost-benefit analysis of the outcome of decisions. Practical implications An understanding of the differences between adult and adolescent decision making points to the role of experience as a key factor in mature decision making. If adolescents are to make mature decisions, they have to be offered suitable challenges in safe environments from which they can gain expertise in leadership decision making. These can be designed to account for differences in sensitivity to reward and punishment in this group. In addition, young adults would benefit from learning the gist interpretations that have been extracted from situations by experienced leaders. This suggests that adolescents and adults would benefit from simulated leadership experiences and leadership mentoring. Social implications The Baby Boomer generation who currently hold many of the leadership positions in organisations are coming close to requirement. They will have to be replaced by members of Generation X and the Millennial Generation resulting in potentially younger leaders. In addition, flatter organisational structures that are currently being implemented in many organisations will require leadership at many more levels. Thus, we need to be able to develop leadership skills in a more diverse and younger section of society. Understanding how the brain develops can help us to design appropriate leadership experiences and training for this upcoming generation of young leaders. Originality/value Recent advances in neuroscience of adolescence provide a unique opportunity to bring new evidence to bear on our understanding of decision making in young adults. This provides practical implications for how to develop leadership within this group and to support them as they gain experience in this domain. The evidence also points to a benefit for the increased risk taking seen in adolescence since this leads to greater motivation to try new, and potentially risky, ventures. Through a better understanding of the differences in decision making, we can both help adolescents to develop more mature decision making faster while benefitting from the optimism of youth.

APA, Harvard, Vancouver, ISO, and other styles

40

Schnecke, Volker, and Jonas Boström. "Computational chemistry-driven decision making in lead generation." Drug Discovery Today 11, no. 1-2 (2006): 43–50. http://dx.doi.org/10.1016/s1359-6446(05)03703-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Kalyvas, M. "All-optical packet clock generation from decision pulses." Optical Engineering 42, no. 12 (2003): 3413. http://dx.doi.org/10.1117/1.1624612.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

S. Miner, Andrew. "Implicit GSPN reachability set generation using decision diagrams." Performance Evaluation 56, no. 1-4 (2004): 145–65. http://dx.doi.org/10.1016/j.peva.2003.07.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

FERREY, S. "Net Zero: Distributed Generation and FERC's MidAmerican Decision." Electricity Journal 17, no. 8 (2004): 33–42. http://dx.doi.org/10.1016/s1040-6190(04)00099-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Bayer, Stefan. "Generation-adjusted discounting in long-term decision-making." International Journal of Sustainable Development 6, no. 1 (2003): 1133. http://dx.doi.org/10.1504/ijsd.2003.004187.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Jarow, Jonathan P., Lisa LaVange, and Janet Woodcock. "Multidimensional Evidence Generation and FDA Regulatory Decision Making." JAMA 318, no. 8 (2017): 703. http://dx.doi.org/10.1001/jama.2017.9991.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Thomas, Rick, Michael R. Dougherty, and Daniel R. Buttaccio. "Memory Constraints on Hypothesis Generation and Decision Making." Current Directions in Psychological Science 23, no. 4 (2014): 264–70. http://dx.doi.org/10.1177/0963721414534853.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Wendt, Alan L. "Fast code generation using automatically-generated decision trees." ACM SIGPLAN Notices 25, no. 6 (1990): 9–15. http://dx.doi.org/10.1145/93548.93549.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Johnen, Amaury, Damien Ernst, and Christophe Geuzaine. "Sequential decision-making approach for quadrangular mesh generation." Engineering with Computers 31, no. 4 (2014): 729–35. http://dx.doi.org/10.1007/s00366-014-0383-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Tavares, L. Valadares, Vitor Vieira, and Paulo Bárcia. "A decision support system (DSS) for power generation." European Journal of Operational Research 25, no. 3 (1986): 373–94. http://dx.doi.org/10.1016/0377-2217(86)91000-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Farghal, S. A., R. M. El-Dewieny, and M. Roshdy Abdel Aziz. "Generation Expansion Planning Using the Decision Tree Technique." Electric Power Systems Research 13, no. 1 (1987): 59–70. http://dx.doi.org/10.1016/0378-7796(87)90051-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Generation of decision'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles