Application of game theory on parameter optimization of the novel two-stage Nash nonlinear grey Bernoulli model

2015 ◽  
Vol 27 (1-3) ◽  
pp. 168-174 ◽  
Author(s):  
Pei-Han Hsin ◽  
Chun-I Chen
Keyword(s):  
Game Theory ◽  
Parameter Optimization ◽  
The Novel ◽  
Bernoulli Model ◽  
Two Stage

scholarly journals EFFECTS OF SWITCHING COSTS ON INNOVATIVE INVESTMENT

2018 ◽  
Vol 24 (3) ◽  
pp. 933-949 ◽  
Author(s):  
Pu-yan NIE ◽  
Chan WANG ◽  
You-hua CHEN ◽  
Yong-cong YANG
Keyword(s):  
Game Theory ◽  
Brand Loyalty ◽  
Switching Costs ◽  
The Novel ◽  
Symmetric Equilibrium ◽  
Two Stage ◽  
Lower Efficiency ◽  
Firm Innovation ◽  
Duopoly Model ◽  
Asymmetric Equilibrium

Switching costs and innovation are two major issues in economics. Prior research demonstrates the effects of switching costs on competition, but ignores the influence of switching costs to firm innovation. So the purpose of this study is to reveal the relationships between switching costs and cost-reducing innovation by considering brand loyalty. All our theoretical conclusions are captured by game theory based on a two-stage duopoly model. The conclusions of this study show that under moderate conditions, switching costs improve competition. Strong firms implement lower price when switching costs are present than when they are not present. Second, at the asymmetric equilibrium, lower-efficiency firms with switching costs launch less innovative investments than do those without switching costs, while higher-efficiency firms with switching costs launch more innovation. But under symmetric equilibrium, switching costs have no effect on innovative investment. The novel contributions of this paper are that we find switching costs and loyalty have vertical impacts on firms’ cost-reducing innovation, which extends the theory of switching costs.

A two-stage clustering-based cold-start method for active learning

2021 ◽  
Vol 25 (5) ◽  
pp. 1169-1185
Author(s):  
Deniu He ◽  
Hong Yu ◽  
Guoyin Wang ◽  
Jie Li
Keyword(s):  
Active Learning ◽  
Class Imbalance ◽  
Imbalanced Data ◽  
Cold Start ◽  
Classification Performance ◽  
The Novel ◽  
Two Stage ◽  
Minority Class ◽  
Novel Method ◽  
Multiple Clusters

The problem of initialization of active learning is considered in this paper. Especially, this paper studies the problem in an imbalanced data scenario, which is called as class-imbalance active learning cold-start. The novel method is two-stage clustering-based active learning cold-start (ALCS). In the first stage, to separate the instances of minority class from that of majority class, a multi-center clustering is constructed based on a new inter-cluster tightness measure, thus the data is grouped into multiple clusters. Then, in the second stage, the initial training instances are selected from each cluster based on an adaptive candidate representative instances determination mechanism and a clusters-cyclic instance query mechanism. The comprehensive experiments demonstrate the effectiveness of the proposed method from the aspects of class coverage, classification performance, and impact on active learning.

scholarly journals Analysis of mass parameter optimization two stage planetary mechanism of type AI − II

2018 ◽  
Vol 0 (25(1301)) ◽  
pp. 98-106
Author(s):  
Vladimir Matusevich ◽  
Jurij Sharaban ◽  
Aleksandr Shehov ◽  
Vladimir Abramov
Keyword(s):  
Parameter Optimization ◽  
Mass Parameter ◽  
Two Stage ◽  
Planetary Mechanism

Solving the dilemma in supplier selection by the group of weight vector with kernel

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sifeng Liu ◽  
Tao Liu ◽  
Wenfeng Yuan ◽  
Yingjie Yang
Keyword(s):  
Decision Model ◽  
Weight Vector ◽  
Clustering Coefficient ◽  
The Novel ◽  
Two Stage ◽  
Content Type ◽  
Grey Clustering ◽  
Coefficient Vector ◽  
Overall Evaluation ◽  
Selection Decision

PurposeThe purpose of this paper is to solve the dilemma in the process of major selection decision-making.Design/methodology/approachFirstly, the group of weight vector with kernel has been defined. Then, the weighted comprehensive clustering coefficient vector was calculated based on the group of weight vector with kernel. Under the action of weighted comprehensive clustering coefficient vector, the information including in other components around component k and supporting object i to be classified into the k-th category has been gathered to component k. At last, a novel two-stage decision model based on the group of weight vector with kernel and the weighted comprehensive clustering coefficient vector is put forward to solve the dilemma in grey clustering evaluation. Then the overall evaluation conclusion can be consistent with the clustering result according to the rule of maximum value.FindingsA new way to solve the dilemma in the process of major selection decision-making has been found. People can obtain a consistent result with two-stage decision model at the case of dilemma. That is, the conclusion of the overall evaluation is consistent with the clustering result according to the rule of maximum value.Practical implicationsSeveral functional groups of weight vector with kernel have been put forward. The proposed model can solve the clustering dilemma effectively and produce consistent results. A practical application of decision problem to solve the dilemma in supplier evaluation and selection of a key component of large commercial aircraft C919 have been completed by the novel two-stage decision model.Originality/valueThe two-stage decision model, the group of weight vector with kernel and the weighted comprehensive clustering coefficient vector were presented in this paper firstly. People can solve the dilemma in grey clustering evaluation effectively by the novel two-stage decision model based on the group of weight vector with kernel and the weighted comprehensive clustering coefficient vector.

Two-Stage Non-Cooperative Game Model for Vertical Handoffs in Heterogeneous Wireless Networks

2021 ◽  
pp. 90-114
Author(s):  
Pramod Kumar Goyal ◽  
Pawan Singh
Keyword(s):  
Game Theory ◽  
Wireless Networks ◽  
Cooperative Game ◽  
Heterogeneous Wireless Networks ◽  
Substantial Reduction ◽  
Game Model ◽  
Two Stage ◽  
Vertical Handoffs ◽  
Cooperative Game Model ◽  
Selection Of

In a heterogeneous wireless network (HWN) environment, performing an efficient vertical handoff requires the efficient qualitative evaluation of all stakeholders like wireless networks (WN) and mobile users (MU) and mutual selection of best WN-MU. In the literature, most of the work deals with both these requirements jointly in the techniques proposed by them for the vertical handoffs (VHO) in HWNs, leaving very little scope to manipulate the above requirements independently. This may result in inefficient vertical handoffs. Hence, this chapter proposed a generalized two-stage two players, iterative non-cooperative game model. This model presents a modular framework that separates the quantitative evaluation of WNs and MUs (at Stage 1) from the game formulation and solution (at Stage 2) for mutual selection of best WN-MU pair for VHO. The simulation results show a substantial reduction in the number of vertical handoffs with the proposed game theory-based two-stage model as compared to a single-stage non-game theory method like multiple attribute decision making.

Emerging Telecommunications Technologies

2010 ◽  
pp. 545-561
Author(s):  
J. Joaquín Escudero-Garzás ◽  
Ana García-Armada
Keyword(s):  
Game Theory ◽  
Cognitive Radio ◽  
Cognitive Radios ◽  
Next Generation Networks ◽  
The Novel ◽  
New Paradigm ◽  
Wireless Telecommunications ◽  
New Type ◽  
Phy Layer ◽  
Novel Concept

The goal of this chapter is to introduce the novel concept of cognitive radio (CR) for wireless telecommunications. Cognitive radios are a new type of radio devices that include cognition and reconfigurability features. The raising number of studies in different areas of research shows their potential and the expectation created among the telecommunications community. In this chapter, the authors first introduce the reader to the new paradigm that cognitive radio networks have created; more specifically, they explain in detail the new next generation networks. Given that our intention is to introduce cognitive radio, the authors focus on the challenges in PHY layer and MAC sublayer and the most relevant studies in these fields. Finally, the integration of game theory and cognitive radio creates a new paradigm where the advantages of both technologies merge to solve complex problems.

“Picture it all, Darley”

2015 ◽  
Vol 70 (1) ◽  
pp. 65-101 ◽  
Author(s):  
Sari Altschuler
Keyword(s):  
African Americans ◽  
Media History ◽  
The Novel ◽  
Two Stage ◽  
Race Politics ◽  
Current Events ◽  
History Of ◽  
The Media ◽  
Representational Limits ◽  
History Of Race

Sari Altschuler “‘Picture it all, Darley’: Race Politics and the Media History of George Lippard’s The Quaker City” (pp. 65–101) This essay adresses two related questions. First, how did George Lippard’s The Quaker City develop from a multimedia story told through newspaper conventions, illustration, and two plays into the novel that appeared in May 1845? And second, how did Lippard’s white-seduction narrative come to pivot around the nightmare of an ambiguously raced Devil-Bug? Joining these questions of form and content, I argue that the media history of The Quaker City is inextricable from its history of race. In the wake of the almost riot around the mid-serialization of his Philadelphia play, Lippard moved away from fictionalizing current events toward the “grotesque-sublime” through a broader critique of Philadelphia less open to charges of libel. This shift took place through the transformation of Devil-Bug, a character Lippard rapidly developed in the middle installments until he was complex enough to carry the new story. Turning the once-black Devil-Bug into his protagonist, however, required character developments that necessarily complicated the story’s representation of race, a process that occurred concurrently with events related to the work that highlighted the systemic oppression of African Americans. In winter 1844, troubles with two stage productions and his illustrator highlighted the problems of representing race. After a several-month hiatus, Lippard published new installments vituperously condemning the representational limits of these nonprose forms and turned to prose to develop his antislavery position through Devil-Bug. As a result of these confluent developments, The Quaker City became an antislavery text through the process of opening Devil-Bug’s character up to its own hybridity and interiority.

Generalized Disturbance Observer Synthesis Using a Two-Stage Heuristic Algorithm

2017 ◽  
Author(s):  
Guofei Xiang ◽  
Jianbo Su
Keyword(s):  
Disturbance Observer ◽  
Filter Design ◽  
Mimo Systems ◽  
Solution Space ◽  
The Novel ◽  
Two Stage ◽  
Design Algorithm ◽  
Reduced Order ◽  
Kyp Lemma ◽  
Low Pass

Disturbance observer (DOB) based control has been widely applied in industries due to its easy usage but powerful disturbance rejection ability. However, the existence of innate structure constraint, namely the inverse of the nominal plant, prevents its implementation on more general class of systems, such as non-minimum phase plants, MIMO systems etc.. Furthermore, additional limitations exerted on Q-filter design, i.e., unity steady state gain and low-pass nature, which narrow down its solution space largely and prevent from achieving optimal performance even if it exists. In this paper, we present a novel DOB architecture, named generalized disturbance observer (G-DOB), with the help of nontraditional use of the celebrated Youla parametrization of two degree-of-freedom controller. Rigorous analyses show that the novel G-DOB not only inherits all the merits of the conventional one, but also alleviates the limitations stated before partially. By some appropriate system manipulation, the synthesis of Q-filter has been converted to the design of reduced-order controller. Thus, a heuristic two-stage algorithm has been developed with the help of Kalman-Yakubovich-Popov (KYP) lemma: firstly design a full information controller for the augmented system and then compute a reduced-order controller. Numerical examples are presented to demonstrate the effectiveness of the proposed G-DOB structure and design algorithm.

Strategy on Energy Capacity Control

2012 ◽  
Vol 512-515 ◽  
pp. 1227-1230
Author(s):  
Miao Sheng Chen ◽  
Yung Tse Tsai
Keyword(s):  
Mathematical Model ◽  
Game Theory ◽  
Energy Market ◽  
Excess Capacity ◽  
Energy Capacity ◽  
Capacity Control ◽  
Two Stage ◽  
Optimal Cost ◽  
The Past ◽  
Stage Game

In the past, energy authorities attempted to prevent potential entrants from participating in the energy market. This study posits that this two-stage game theory is insufficient to describe the modern-day situation. Ware (1984) modified the Dixit (1980) model to develop a three-stage game structure. We use this mathematical model to analyze the optimal cost of an energy authority and the strategy of excess capacity.

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