Age Sequence Recursive Models for Long Time Evaluation Problems

2018 ◽  
Vol 26 (02) ◽  
pp. 299-325
Author(s):  
Jian Wang ◽  
LingLing Shen ◽  
LeSheng Jin ◽  
Gang Qian
Keyword(s):  
Historical Data ◽  
Smoothing Method ◽  
Decision Makers ◽  
Smoothing Methods ◽  
Recursive Models ◽  
Special Cases ◽  
Long Time ◽  
Age Sequence ◽  
Age Series ◽  
Time Evaluation

The evaluation models for long time historical data is important in many applications. In this study, based on Age measure defined by Yager, we propose the definitions of Age Sequence and Age Series. Then, we provide a Generalized Recursive Smoothing method. Some classical smoothing models in evaluation problems can be seen as special cases of Generalized Recursive Smoothing method. In order to obtain more reasonable and effective aggregation results of the historical data, we propose some different Age Sequences, e.g., the Generalized Harmonic Age Sequence and p Age Sequence, which theoretically can provide infinite more recursive smoothing methods satisfying different preferences of decision makers.

scholarly journals Stock Market Trading Rules Discovery Based on Biclustering Method

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Yun Xue ◽  
Zhiwen Liu ◽  
Jie Luo ◽  
Zhihao Ma ◽  
Meizhen Zhang ◽  
...  
Keyword(s):  
Stock Price ◽  
Historical Data ◽  
Probability Model ◽  
Trading Rules ◽  
Normal Probability ◽  
Long Time ◽  
Local Patterns ◽  
Short Term Prediction ◽  
Stock Market Trading ◽  
The Impact

The prediction of stock market’s trend has become a challenging task for a long time, which is affected by a variety of deterministic and stochastic factors. In this paper, a biclustering algorithm is introduced to find the local patterns in the quantized historical data. The local patterns obtained are regarded as the trading rules. Then the trading rules are applied in the short term prediction of the stock price, combined with the minimum-error-rate classification of the Bayes decision theory under the assumption of multivariate normal probability model. In addition, this paper also makes use of the idea of the stream mining to weaken the impact of historical data on the model and update the trading rules dynamically. The experiment is implemented on real datasets and the results prove the effectiveness of the proposed algorithm.

scholarly journals Generalized Fuzzy Soft Power Bonferroni Mean Operators and Their Application in Decision Making

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 810
Author(s):  
Zitai Xu ◽  
Chunfang Chen ◽  
Yutao Yang
Keyword(s):  
Decision Making ◽  
Soft Power ◽  
Original Data ◽  
Decision Makers ◽  
Decision Making Process ◽  
Software Selection ◽  
Decision Method ◽  
Bonferroni Mean ◽  
Special Cases ◽  
Multi Attribute Decision Making

In decision-making process, decision-makers may make different decisions because of their different experiences and knowledge. The abnormal preference value given by the biased decision-maker (the value that is too large or too small in the original data) may affect the decision result. To make the decision fair and objective, this paper combines the advantages of the power average (PA) operator and the Bonferroni mean (BM) operator to define the generalized fuzzy soft power Bonferroni mean (GFSPBM) operator and the generalized fuzzy soft weighted power Bonferroni mean (GFSWPBM) operator. The new operator not only considers the overall balance between data and information but also considers the possible interrelationships between attributes. The excellent properties and special cases of these ensemble operators are studied. On this basis, the idea of the bidirectional projection method based on the GFSWPBM operator is introduced, and a multi-attribute decision-making method, with a correlation between attributes, is proposed. The decision method proposed in this paper is applied to a software selection problem and compared to the existing methods to verify the effectiveness and feasibility of the proposed method.

Machine Learning for Business Analytics

2021 ◽  
pp. 232-256
Author(s):  
Kağan Okatan
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Machine Learning Algorithms ◽  
Decision Makers ◽  
Business Analytics ◽  
Business Intelligence Systems ◽  
Long Time ◽  
Rules Of The Game

All these types of analytics have been answering business questions for a long time about the principal methods of investigating data warehouses. Especially data mining and business intelligence systems support decision makers to reach the information they want. Many existing systems are trying to keep up with a phenomenon that has changed the rules of the game in recent years. This is undoubtedly the undeniable attraction of 'big data'. In particular, the issue of evaluating the big data generated especially by social media is among the most up-to-date issues of business analytics, and this issue demonstrates the importance of integrating machine learning into business analytics. This section introduces the prominent machine learning algorithms that are increasingly used for business analytics and emphasizes their application areas.

scholarly journals Measuring reaction rates at equilibrium with the isotope doping method

2019 ◽  
Vol 98 ◽  
pp. 13003
Author(s):  
Chen Zhu ◽  
Yilun Zhang ◽  
J Donald Rimstidt ◽  
Honglin Yuan
Keyword(s):  
Chemical Engineering ◽  
Experimental Testing ◽  
Detailed Balance ◽  
Reaction Rates ◽  
Irreversible Thermodynamics ◽  
Experimental Conditions ◽  
Special Cases ◽  
Wide Range ◽  
Long Time ◽  
Dissolution And Precipitation

Since the time of J. H. van’t Hoff [1], it has been known that chemical equilibrium is dynamic, meaning that at equilibrium, chemical reactions do not cease, but instead the forward and backward reaction rates are equal. The constant concentrations at equilibrium preclude the use of concentrations to measure reaction rates at equilibrium. Therefore, with the exception of a few special cases, no reaction rates at equilibrium have been published in the literature of chemistry, physics, or chemical engineering. Here we report dissolution and precipitation rates at equilibrium for quartz and barite with the isotope-doping method. Experimental data show that dissolution and precipitation rates are equal at equilibrium, indicating the principle of detailed balance (PDB) appear to be applicable at these experimental conditions. The PDB has been a cornerstone for irreversible thermodynamics and chemical kinetics for a long time, and its wide application in geochemistry has mostly been implicit and without experimental testing of its applicability. Nevertheless, many extrapolations based on PDB without experimental validation have far reaching impacts on society’s mega environmental enterprises. The isotope doping method appears to able to test its applicability for a variety of minerals at a wide range of conditions.

USER-INVOLVEMENT AND OPEN INNOVATION: THE CASE OF DECISION-MAKER OPENNESS

2010 ◽  
Vol 14 (03) ◽  
pp. 471-489 ◽  
Author(s):  
KRISTINA RISOM JESPERSEN
Keyword(s):  
Decision Maker ◽  
New Product Development ◽  
Open Innovation ◽  
User Involvement ◽  
New Product ◽  
Theory And Practice ◽  
Decision Makers ◽  
Long Time ◽  
Lead Users ◽  
Successful Collaboration

The promise of customers as an external resource for new-product development (NPD) has been recognized in theory and practice for a long time. Technological progress has increased the interaction between companies and users. Yet the involvement of users in NPD depends on the ability of decision-makers to act as boundary spanners. There is a cognitive distance between NPD decision-makers and users. The larger this distance is, the more novel information is contained in user inputs. True open innovation requires that these cognitive distant inputs are treated in NPD. We find that decision-maker openness is significant for NPD openness to be true. Successful collaboration in form of innovations builds on involvement of launching and lead users in NPD. Our analyses show that decision-maker openness facilitates the involvement process. Further, low decision-maker openness traps the implementation of open innovation.

A corner smoothing method with feedrate blending for linear segments under geometric and kinematic constraints

2020 ◽  
Vol 234 (9) ◽  
pp. 1227-1245 ◽  
Author(s):  
Yong-Bin Zhang ◽  
Tai-Yong Wang ◽  
Jing-Chuan Dong ◽  
Yang-Fan Liu ◽  
Run-Ji Ke
Keyword(s):  
Dynamic Performance ◽  
Smooth Curve ◽  
Optimization Method ◽  
Linear Interpolation ◽  
Smoothing Method ◽  
Linear Segment ◽  
Machining Time ◽  
Smoothing Methods ◽  
Feedrate Scheduling ◽  
One Step

To eliminate the disadvantages of linear interpolation and geometry-based smoothing methods, the one-step corner smoothing method with feedrate blending algorithm for linear segments is proposed in this article. In the proposed method, the variable acceleration and jerk optimization method will be first adopted to determine the dynamic performance of each linear segment for feedrate scheduling, which takes the different axial limits into consideration. Then, the feedrate scheduling method based on the S-type acceleration and deceleration algorithm is implemented to generate smooth feedrate profiles. Moreover, the feedrate blending algorithm is adopted to calculate the corner time analytically within the specified corner error and thus to generate the smooth trajectory without inserting a smooth curve at adjacent linear segments. With the presented one-step corner smoothing method, a smoother and more accurate trajectory could be generated with faster machining time. The results of simulations and machining experiments demonstrate the effectiveness of the proposed method.

An Integrated Model for Simulating and Evaluating Water Resources Sustainability at Laoshan Region

2014 ◽  
Vol 675-677 ◽  
pp. 880-885
Author(s):  
Jie Jun Yang ◽  
Jun Zhou
Keyword(s):  
Water Resources ◽  
Historical Data ◽  
Integrated Model ◽  
Decision Makers ◽  
Relative Standard ◽  
Different Types ◽  
Relative Errors ◽  
Water Quality And Quantity ◽  
Water Resources Utilization ◽  
Water Resources Sustainability

An integrated model was developed for evaluating water resources sustainability. In the model, a new index was developed based on nineteen indicators related socio-economic, eco-environment and water resources. The interrelationships between indicators were quantified based on mathematical models. The integrated model was applied to simulate the water resources sustainability in Laoshan Region successfully from 2010 to 2030 after validation and calibration using historical data which has low relative errors and relative standard deviation (<10%). The results indicate that the sustainable solution to water resources utilization in Laoshan Region is to supply different types of water resources to different water resources demand sectors based on requirements on water quality and quantity. The integrated model developed in this study is useful for decision-makers to simulate and evaluate the water resources sustainability.

Is There a Path to Peaceful Resolution in the Dokdo/Takeshima Dispute?

2017 ◽  
Vol 5 (2) ◽  
pp. 153-174
Author(s):  
Paul Huth ◽  
Sunwoong Kim
Keyword(s):  
South Korea ◽  
Focal Point ◽  
Decision Makers ◽  
Territorial Dispute ◽  
Current Position ◽  
Bilateral Relationship ◽  
Peaceful Resolution ◽  
Long Time ◽  
To Come ◽  
Benefits And Costs

Abstract Japan and South Korea have been locked in a territorial dispute over the islands of Dokdo/Takeshima since the end of wwii. In this essay, we analyze the reasons why the issue has been a thorny issue for such a long time in their bilateral relationship. The calculus of domestic and international benefits and costs of the top decision makers in both countries reveal that neither party is likely to change their current position in the absence of a clear legal focal point, because both will have to come up with a substantial concession in order to achieve a peaceful resolution.

Collaborative Modeling Using System Dynamics for Water Resource Management

2006 ◽  
Author(s):  
A. C. Sun ◽  
V. C. Tidwell ◽  
R. Thomas ◽  
J. R. Brainard ◽  
P. H. Kobos ◽  
...  
Keyword(s):  
Resource Management ◽  
Water Resources ◽  
Population Growth ◽  
System Dynamics ◽  
Water Resource ◽  
Water Resource Management ◽  
Historical Data ◽  
Hydrologic Cycle ◽  
Decision Makers ◽  
Collaborative Modeling

Water resource management for most Southwestern states requires collaborative solutions that cross regional, state, and federal judicial boundaries. As most of the region experiences drought-like conditions as well as population growth, there is a growing concern about sustainability of the water resource to meet industrial, agricultural, and residential demands. Technically, seeking a consensus path requires modeling of the hydrologic cycle within a prescribed region. Credible models must capture key interdependencies of various water resources, use historical data for calibration, and provide temporal/spatial resolutions that are aligned with the interests of the decision makers.

A Comparison of Hostile Behavior of Decision-Makers in Simulate and Historical Data

1966 ◽  
Vol 18 (3) ◽  
pp. 474-502 ◽  
Author(s):  
Dina A. Zinnes
Keyword(s):  
United Nations ◽  
Historical Data ◽  
Educational Opportunities ◽  
Decision Makers ◽  
Living Standards ◽  
Causes Of War ◽  
The World ◽  
The United Nations

The origin of wars is to be found … in the minds … of men,” said Frederick S. Dunn in the course of his argument that the United Nations should improve educational opportunities and raise living standards throughout the world. Such reforms, he believed, would alleviate ignorance and mass dissatisfaction, two of the principal causes of war. But Dunn's statement, in the light of recent research, also lends itself to a totally different interpretation.

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