bluuebunny/crossref_metadata_2025_split huggingface dataset:
The fuzzy adaptation control method and its application of a kind of nonlinear system
Authors: Wu Xueli , Lu Xianghui , Meng Hua , Zhen Ran , Meng Fanhua 
Published: November 2009

PurposeThe purpose of this paper is to propose a kind of fuzzy adaptive control method to control non‐linear system that has the characteristic of small time delay and fast respond speed.Design/methodology/approachThe paper analyzes the production process and the actual condition of the preheat process of the plating zinc and painting plastic scribbled of double layer welded pipe that has the small time delay and fast respond speed, and also gives the preheat process mathematical model. Fuzzy adaptive control method with hierarchical structure is used which aims at one non‐linear system that has the characteristic of small time delay and fast responds speed. Through the simulation, it proves the mentioned method is effective to control the temperature system for double layers welded pipe in welding process.FindingsBased on the mathematical model proposed about the production process and the actual condition of the preheat process, the fuzzy adaptive control method is effective to control the temperature system for double layers welded pipe in welding process.Research limitations/implicationsThe paper proposes fuzzy adaptive control method with hierarchical structure which has the basic fuzzy control grade, adaptive adjust grade, and process state judgment grade.Practical implicationsA very useful method in welding process for double layers welded pipe.Originality/valueThe new mathematical model is proposed about the production process, and the new control method is used in the temperature system for double layers welded pipe in welding process.
Research on the stability of non‐equigap grey control model under multiple transformations
Authors: Xiao Xinping , Li Fuqin 
Published: November 2009

PurposeThe purpose of this paper is to deal with the ill‐conditioned problem for the non‐equigap GM(1,1) control model by using the method of multiple transformations.Design/methodology/approachOwing to noises and interferences from both inside and outside of the system, many control systems contain unequal intervals and sharp variation which may result in undesirable systems instability. In order to ensure the stability and efficiency of grey forecasting control model, the data transformation for a raw series is an important and useful method for enhancing accuracy and improving ill‐condition of the non‐equigap GM(1,1) model.FindingsThis paper discusses the quantitative relations between the multiple transformation and the parameters of the non‐equigap GM(1,1) model in detail, and studies the effect of the multiple transformation on the condition number of the non‐equigap GM(1,1) model.Research limitations/implicationsAccessibility and availability of data are the main limitations based on which model will be applied.Practical implicationsChoosing an appropriate multiple of transformation cannot only eliminate dimension, lessen computation and maintain high accuracy, but also largely reduce the condition number of the model and improve the ill‐condition of non‐equigap GM(1,1) model effectively.Originality/valueThis paper seems to be the first to discuss the stability problems for the non‐equigap GM(1,1) model.
Application of fuzzy neural network controller in hydropower generator unit
Authors: Xiao Zhihuai , Guo Jiang , Zeng Hongtao , Zhou Pan , Wang Shuqing 
Published: November 2009

PurposeThe purpose of this paper is to develop a new hybridized controller based on fuzzy reasoning and neural network (NN) for hydropower generator unit (HGU).Design/methodology/approachThe approach contains fuzzy neural networks controller (FNNC), RBF network identification (RBFNI) and HGU system. FNNC may give control value to control HGU via fuzzy NN reasoning and computing according to HGU rotate speed error and error varying rate. RBFNI is used to identify the character of HGU system and predict its output. FNNC may adjust parameters and member function according to the identifying and predictive outcome of RBFNI.FindingsSees that the hybridized control system is feasible and stable, and the controlling performance of the hybridized system is superior to conventional fuzzy controller.Research limitations/implicationsThe theoretical proof of stability of the proposed scheme still remains to be studied. Accessibility and availability of membership functions and control rules is also a limitation applied.Practical implicationsThe main advantage of the proposed method is that FNNC has reasoning, learning, and optimizing capability which can control effectively HGU. This will be useful for control engineers to control complex industrial plants.Originality/valueThe paper proposes new combined approach to optimal control of HGU using FNNC, and it is aimed at operational researches and engineers, especially those who dealt with HUG controller.
Basis for STM solution of quantum control problems
Authors: Xing Yifan , Sun Xice , Chu Diyang , Wang Zhi , Wu Jun 
Published: November 2009

PurposeThis purpose of this paper is to present a new approach of solving quantum control problem.Design/methodology/approachState‐transition‐matrix (STM) is used to solute quantum control problem.FindingsThe paper obtains the matrix representation for wave function, normalization, and some other quantum operators, and then gives the possible methods to establish the STM model and solve it.Originality/valueBased on this, many tools of the widely used control theory can be adopted to denote or analyze the quantum system.
Application of the stepping stress acceleration life test in the product storage life forecast
Authors: Yan Pengcheng , Liu Dongqing , Zheng Bo 
Published: November 2009

PurposeThe purpose of this paper is to forecast the reliable storage life of a certain kind of equipment under the normal stress level.Design/methodology/approachThrough the stepping stress acceleration life test and the failure mechanism analysis, this paper aims to confirm the stress level for the stepping stress acceleration life test of a certain kind of equipment and establish the data processing mathematical model and storage life forecasting method.FindingsThe stress level for the stepping stress acceleration life test of a certain kind of equipment is confirmed and the data processing mathematical model and storage life forecasting method is established.Research limitations/implicationsAvailability of data is the main limitation affecting which model will be applied.Practical implicationsUseful advice for products' storage life forecasting.Originality/valueThe paper presents a new approach to product storage life estimation.
Integrative performance evaluation for supply chain system based on logarithm triangular fuzzy number‐AHP method
Authors: Yang Jianhua 
Published: November 2009

PurposeThe purpose of this paper is to analyse the efficiency and benefits of supply chain (SC) scientifically and validate the usability of methods on performance evaluation index system.Design/methodology/approachAt the performance evaluation index, the enhanced balanced scorecards (BSC) are developed based on the BSC. Regarding society environment and future development, the construction of performance evaluation index system includes five aspects such as finance, customer service, intra‐flow process, learning and development, and society development within SC. The indexes of performance evaluation system are all quantified to achieve their practical application. Another new point is that the logarithm triangular fuzzy number‐analytic hierarchy process (AHP) method expanding from fuzzy environment and developing from traditional AHP method is creatively used to evaluate the integrative performance evaluation index system.FindingsThe enhanced BSC and the special AHP method can overcome some disadvantages that experts directly give definite numbers when the traditional method is used to value certainty and evaluate the qualitative index. It is a scientific qualitative and quantitative evaluation tool.Research limitations/implicationsAccessibility and availability of data are the main limitations affecting which model will be applied.Practical implicationsThis paper is a very useful method for SC managers.Originality/valueThe new approach of performance evaluation index system is attempted due to structure and fuzzy sets. The paper is aimed at operational researchers, engineers and special managers.
Design, analysis and simulation of an optimal wage contract in firms
Authors: You Wenxia , Wang Xianjia 
Published: November 2009

PurposeThe purpose of this paper is to analyze and solve the problem of moral hazard in firms because of asymmetry information between firms and workers and to contract upon the workers' shiftless actions.Design/methodology/approachBased on principle‐agent theory and human resource management practice, an optimal dynamic wage contract model is designed. By applying simulation technology, the dynamic wage contract model is compared to the general static wage contract model and the affects made by the optimal dynamic wage contract to workers and firms are analyzed.FindingsAccording to the consequences of simulation, the dynamic wage contract has better characteristics and is more practical than the static one. In the dynamic wage contract, the current action of a worker has a persistent effect on the future outcome. It is proved that the dynamic wage contract is optimal to the firm. The optimal dynamic wage contract is renegation‐proofness. It not only can incentive workers to work hard and help the firm achieve Pareto efficiency, but also can smooth the firm's incentive costs and reduce the risk born by workers.Originality/valueThe paper provides some reasonable conclusions for the human resource management in firms.
The application of the Smith predictor with PSO in HAGC system
Authors: Yao Xiaolan , Yu Xiangtao , Wu Qinghe , Liang Qihong 
Published: November 2009

PurposeThe purpose of this paper is to solve the problem of a pure time delay in the hydraulic automatic gauge control (HAGC) system.Design/methodology/approachSmith predictor is selected to solve pure time delay of the HAGC system. The model of thickness predictor is identified by the extended recursive least square algorithm. The parameters of controller are adjusted by particle swarm optimization algorithm (PSO). The simulation result shows that the Smith predictor has good response performance and anti‐disturbances ability.FindingsThe control precision of the HAGC system in the finished mill can be obviously improved by Smith predictor with PSO arithmetic. The Smith predictor with PSO arithmetic is suitable to solve the pure time delay in the HAGC system.Research limitations/implicationsRandomicity in rolling process and the effect of other mill stands are the main limitations based on which the model will be applied.Practical implicationsA very useful method to improve the precision of the strip.Originality/valueThis paper presents a new method of Smith predictor with PSO arithmetic is designed for a HAGC system in the finished mill to solve a pure time delay problem. The object model is acquired by system identification method.
Rough set for quantitative analysis of characteristic information in metallogenic prediction
Authors: Yuan Yan‐bin , Zhu Ya‐qiong , Zhou You , Sælthun N.R. , Cui Wei , Huang Jiejun 
Published: November 2009

PurposeThe purpose of this paper is to extract the characterized mineralization information from large numbers of data obtained from geologic exploration based on rough set; analyze the inherent relation between mineral information genes and metallogenic probability, and offer the scientific basis for target prediction.Design/methodology/approachMineral information includes all kinds of relative metallogenic information. In order to extract comprehensive metallogenic prediction information, it is necessary to filter initial observation information to emphasize the factors that are most advantageous to metallogenic prognosis. Rough set can delete irrespective or unimportant attributes on the premises of no information missing and no classification ability changing, without supplementary information or prior knowledge, which has important theoretic and practical value for metallogenic prognosis.FindingsThe association and importance of geological information referring to prospecting are found out through attribute reduction based on rough set.Originality/valueThe analysis of geological and mineral information based on rough set is a novel approach for high‐dimensional complex non‐deterministic polynomial problems which are predominant in geological research. The research successfully extracts characterized mineralization information to offer the scientific basis for target prediction.
Optimal selection of design schemes for a sparse distributed pile foundation based on fuzzy optimization theory
Authors: Lijuan Zhang , Zhangming Li 
Published: November 2009

PurposeThe purpose of this paper is to establish the optimization model of designs for sparse distributed pile foundation based on multi‐goals fuzzy optimization theory, to promote the application of the optimization model into project.Design/methodology/approachIn the designing of sparse distributed pile foundation, there are many feasible design schemes, the selection of designs is a decision making of multi‐goals and factors. Owing to uncertain and imprecise environment in which the designing of sparse distributed pile foundation exists, the theories of fuzzy optimization are chosen as mathematical framework to optimize the design schemes.FindingsSince relative optimal degree is used to judge, the optional result of using fuzzy optimization theories in sparse pile foundation design selection is more rational according to a site project.Research limitations/implicationsThe availability of data and precision of index weight selection are the main limitations as to which model will be applied.Practical implicationsA very useful optimal method for the sparse pile foundation design selection.Originality/valueThe new approach of optimal selection for sparse pile foundation design due to fuzzy optimization theories.
Similarity model of chaos phase space and its application in mid‐ and long‐term hydrologic prediction
Authors: Zhang Liping , Xia Jun , Song Xingyuan , Cheng Xiaofeng 
Published: November 2009

PurposeWith frequent floods occurring, and the fast economic development in China, attention must be paid to flood prevention, water supply, and forecasting precision. In particular, mid‐ and long‐term runoff prediction is being paid more and more attention by researchers, and it is also the most difficult problem to solve. The purpose of this paper is to apply chaos phase space theory to forecast river run off.Design/methodology/approachBecause the hydrologic system is a complicated huge system, there exist high non‐linear characteristics in the space‐time change of hydrologic factors. According to theory of chaotic phase space, the paper established four models of the single‐point, multi‐point, lineal, and three‐parameter D(m,τ,k) models, they have stronger non‐linear mapping function and much more information in the time series than traditional ways.FindingsThe results of calculation show that the models are highly effective and worthy of popularization and application. It is reasonable and superior to use these models in mid‐ and long‐term hydrologic prediction.Research limitations/implicationsThe method cannot reduce or eliminate the un‐prediction parts caused by the inner random factors, such as the noise information of the observed data.Practical implicationsThe models are applied in the long‐term runoff prediction of Baishan reservoir.Originality/valueThe new approach of hydrology forecasting due to the theory of chaotic phase space. The paper is aimed at hydrology forecasting researches and engineers, especially those who dealt with the mid‐ and long‐term prediction.
On the broad‐spectrum analysis of general system theory
Authors: Zhang Yu‐xiang 
Published: November 2009

PurposeThe purpose of this paper is to give broad‐spectrum analysis of general system theory, including the researching approach – dynamic structure approach, the study on general object system by broad‐spectrum analysis, and the study of general cognitive system by broad‐spectrum analysis, etc.Design/methodology/approachThe theoretical basis of broad‐spectrum analysis is dynamic structuralism, which, therefore, leads to the fact that its methodology is dynamic structural methodology, including that from the perspective of generalized structure, that from the dynamic perspective (the fluxional viewpoint of structure and the transforming viewpoint of structure).FindingsGeneralized structural models of general object system (including general thing system and general dynamic system, general cognitive system and general value system) are given in this paper. It shows a unique perspective of broad‐spectrum analysis, its close relationship with general system theory and the viewpoints of many questions in general system.Research limitations/implicationsThe details of the structural models in this paper have to be worked out.Practical implicationsThe methodological principle for us to analyze, study, optimize, and control the general system is provided.Originality/valueGeneralized structural models of this paper originate from pansystem methodology and discrete mathematics. This paper has the value of methodology for those who are studying general systems.
Research on four kinds of uncertain preference information aggregation approach in group decision making
Authors: Jian‐Jun Zhu , Si‐Feng Liu , Li‐Hong Li 
Published: November 2009

PurposeThe purpose of this paper is to aggregate different preference information in group decision‐making process such as interval preference order, interval utility value, interval number reciprocal comparison matrix, and interval number complementary comparison matrix.Design/methodology/approachFirst, the consistency definitions of four kinds of uncertain preference information are defined. Then, the upper‐ and low errors are introduced to solve the inconsistent decision‐making case. Following that, the weight model for each uncertain preference is proposed, respectively.FindingsThe aggregation approach based on minimal group deviation errors is suggested in order to obtain the utmost consistent opinion. In addition, the consistency judgment level and consistency extent are defined owing to the aggregation result.Research limitations/implicationsThe calculation scale is large, if many decision makers will attend group decision‐making process.Practical implicationsA very useful approach for aggregation of the different preference in group decision‐making case.Originality/valueBecause of differences in knowledge structure, judgment level, and individual preference, decision makers express their judgment preferences via differently structured decision‐making processes. Owing to the complexity and uncertainty of decision‐making problems and the fuzziness of human thought, it is unrealistic to depict complex problems in the certain preference style. For decision‐making preference structures, group decision‐making aggregation approaches include the aggregation on the same kind of preference structure and the different kinds of preference structures. The study on the aggregation of the same kind of preference structure has received a deal of attention, but study into the aggregation of the different kinds of uncertainty preference structures is still a new field.
Time for a “design turn” in IS innovation research? A practice report from the home front
Authors: Wastell David , Sauer Juergen , Schmeink Claudia 
Published: November 2009

PurposeIn contrast to the behavioural paradigm of IS research, design science seeks to develop a body of practically‐oriented knowledge which will directly aid the design, implementation, and use of information technologies and systems. Design science, however, remains a minority practice. The purpose of this paper is to argue the case for its more widespread adoption, especially so in research on innovation.Design/methodology/approachTo this end, the authors report an example of design science in action. Two experiments are reported, both concerning the design of the user interface for domestic heating systems. Of note is the use of a medium‐fidelity laboratory simulation (“microworld”) in this work.FindingsTwo specific substantive findings results. First that ecologically designed feedback, embodying a strong mapping between task goals and system status, produces superior task performance. Second, that predictive decision aids provide clear benefits over other forms of user support, such as advisory systems.Practical implicationsWhilst arguing the general case for design science, the study shows that there are formidable barriers to its wider promulgation. These include the challenges of constructing realistic meta‐artefacts, compounded by the complex, modal and uncertain nature of design theory itself. The practical value of the microworld paradigm is also confirmed.Originality/valueAlthough research in this field has largely addressed the workplace, here the paper addresses the domestic realm. Further novelty derives from the use of the microworld approach. The argument that design science should draw more on the proven methods of “good design” (e.g. prototyping, user participation) in terms of its own praxis is also noteworthy.
Crossing the diffusion chasm: from invention to penetration of a telehealth innovation
Authors: Cho Sunyoung , Mathiassen Lars , Gallivan Michael 
Published: November 2009

PurposeThe purpose of this paper is to help explain the paradox between the high potential of telehealth innovations and their slow diffusion by investigating the challenges involved in a successful case.Design/methodology/approachThe paper is based on a longitudinal study of a telestroke program from 2003‐2007 seen from the point‐of‐view of the inventors. The program was initially used by a network of hospitals; it faced several challenges when the inventors sought to diffuse it to a broader marketplace; but, the inventors eventually succeeded to create a viable technology and business model.FindingsThe authors offer a process model of this telehealth innovation consisting of four phases: invention, pilot test, commercialization, and penetration – with each phase demarcated by specific actors and activities. In addition, a chasm between the pilot test within a network of hospitals and the subsequent commercialization of a product aimed for the market is identified. Finally, the authors reveal how key actors negotiated the chasm to successfully diffuse the innovation beyond the initial hospital setting.Originality/valueThe paper offers two contributions. First, it contributes a new model of IT‐enabled innovation processes seen from the inventor's perspective and emphasizing the diffusion chasm as a key challenge. Second, it contributes a longitudinal, in‐depth analysis of a telehealth innovation from initial invention to successful market penetration.