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Article
Publication date: 1 February 1998

Zhou Xiaolu, Li Yongli and Chen Beifang

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56

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Kybernetes, vol. 27 no. 1
Type: Research Article
ISSN: 0368-492X

Abstract

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Kybernetes, vol. 27 no. 9
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 13 February 2009

Xiaolu Zhou, Ruhe Xie, Xizhou Zhang, Cheng Wang and Xuemou Wu

The purpose of this paper is to develop pansystems‐styled traffics, logistics and knowledge rediscovery. The core logoi are the generalized resources//F* and their…

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2432

Abstract

Purpose

The purpose of this paper is to develop pansystems‐styled traffics, logistics and knowledge rediscovery. The core logoi are the generalized resources//F* and their circulation//C*. The research presents a new outlook to mathematics, physics, traffic, communication, logistics, KD, internet, computer, translation, simulation, information, life‐systems, logic or reasoning, memory or storage, process, transaction, finance, education, inherent, topology, evolution, etc. and then certain mechanism among them and related mutuality can be unveiled.

Design/methodology/approach

A flexible combination of philosophy, mathematics and technology is embodied. The paper is an application of pansystems methodology to approach the following topics: pansystems resource, circulation: traffics, logistics and KD; pansystems variational principle and pan‐circulation; pansystems logistics; pansystems network, supply chain and bullwhip effect; pansystems innovation and knowledge rediscovery.

Findings

All of the topics concerned are reduced to the actualization of pansystems variational OR and classification‐repetition‐PanOR, which possess a transfield nature.

Originality/value

This paper provides the framework and concretion principles of pansystems research on traffics, logistics, supply chain, bullwhip effect, innovation and related applications, and presents a new world outlook, which leads to some new comprehension to KD and WHF* <world*history*future*>, SEM* <society* economy*management*>.

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Kybernetes, vol. 38 no. 1/2
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 24 February 2012

Xiaolu Zhou and Masud Parves Rana

The purpose of this paper is to review the topic “urban green space” focusing on its social benefits and measure techniques in terms of monetary value and accessibility…

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8145

Abstract

Purpose

The purpose of this paper is to review the topic “urban green space” focusing on its social benefits and measure techniques in terms of monetary value and accessibility. It suggests potential research direction by using an integrated valuation and measurement framework, and concludes that urban green space valuation in the providers’ perspective as well as accessibility analysis in the consumers’ perspective are useful tools that provide significant measure techniques in urban green space planning.

Design/methodology/approach

The paper uses a systematic approach to build up a conceptual framework that quantifies social benefits of green space from provider and consumer perspectives. The literature review indicates some limitations of existing techniques of valuation and accessibility analyses, which entails an integrated model of measurements.

Findings

The paper explores social benefits of urban green space, which includes recreational opportunities, aesthetic enjoyments, adjusting psychological well‐being and physical health, enhancing social ties, and providing educational opportunities. To analyze existing evaluation and measure techniques of urban green space, the paper points out that a single measurement only evaluates certain aspects of urban green space, which may not always be suitable to comprehensively assess social benefits from both providers’ and consumers’ perspectives. Considering this limitation, the paper offers an integrated model to measure urban green space that may deal with current limitations.

Originality/value

The originality of the study resides in designing an integrated model including valuation and measure techniques. It certainly offers an important avenue to evaluate social benefits of urban green space.

Details

Management of Environmental Quality: An International Journal, vol. 23 no. 2
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 1 December 2006

Dinghe Guo, Xiaolu Zhou, Jinghong Pan and Zhangbo Guo

To develop an overview of generalized scales based on pansystems‐relative quantification.

Abstract

Purpose

To develop an overview of generalized scales based on pansystems‐relative quantification.

Design/methodology/approach

This is a discussion paper exploring the key issues surrounding generalized measures.

Findings

The concrete contents of the study include generalized measure views, dimension theory, concepts, logic, theories, Einstein's relativity, quality‐quantity‐degree, methodology of physics, theorems in pansystems mathematics and physics explained within the framework of pan‐scale transformations.

Originality/value

Provides an overview of generalized scales based on pansystems‐relative quantification.

Details

Kybernetes, vol. 35 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

Content available
Article
Publication date: 1 December 2006

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90

Abstract

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Kybernetes, vol. 35 no. 10
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 August 1999

Wu Xuemou and Guo Dinghe

The framework, methodology and development of pansystems cybernetics are introduced. Related contents include: the postmodernizational systems thought, the epitome of…

Abstract

The framework, methodology and development of pansystems cybernetics are introduced. Related contents include: the postmodernizational systems thought, the epitome of pansystems methods, hi‐tech mechanism, social cybernetics, pansystems views of value, labor, management and economics, pedagogy, history and futurology, systems mathematics, general clustering analysis, observocontrollability, generalized living systems, information metascience, regret information, general fuzzy control, generalized gray systems, entropy, large scale dynamical supercomplicated Shengke systems, function simulations, transformation theory, simplification, strengthening, forming substance of subsystems of living systems of Miller’s theory, etc.

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Kybernetes, vol. 28 no. 6/7
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 5 February 2018

Bingjun Li, Weiming Yang and Xiaolu Li

The purpose of this paper is to address and overcome the problem that a single prediction model cannot accurately fit a data sequence with large fluctuations.

Abstract

Purpose

The purpose of this paper is to address and overcome the problem that a single prediction model cannot accurately fit a data sequence with large fluctuations.

Design/methodology/approach

Initially, the grey linear regression combination model was put forward. The Discrete Grey Model (DGM)(1,1) model and the multiple linear regression model were then combined using the entropy weight method. The grain yield from 2010 to 2015 was forecasted using DGM(1,1), a multiple linear regression model, the combined model and a GM(1,N) model. The predicted values were then compared against the actual values.

Findings

The results reveal that the combination model used in this paper offers greater simulation precision. The combination model can be applied to the series with fluctuations and the weights of influencing factors in the model can be objectively evaluated. The simulation accuracy of GM(1,N) model fluctuates greatly in this prediction.

Practical implications

The combined model adopted in this paper can be applied to grain forecasting to improve the accuracy of grain prediction. This is important as data on grain yield are typically characterised by large fluctuation and some information is often missed.

Originality/value

This paper puts the grey linear regression combination model which combines the DGM(1,1) model and the multiple linear regression model using the entropy weight method to determine the results weighting of the two models. It is intended that prediction accuracy can be improved through the combination of models used within this paper.

Details

Grey Systems: Theory and Application, vol. 8 no. 1
Type: Research Article
ISSN: 2043-9377

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Article
Publication date: 23 March 2020

Kang Cheng, Xu Riqing, Hong-wei Ying, Lin Cungang and Xiaolu Gan

The purpose of this study is to present a simplified analytical method to estimate ground lateral displacement due to excavation. Excavations of foundation pit will…

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154

Abstract

Purpose

The purpose of this study is to present a simplified analytical method to estimate ground lateral displacement due to excavation. Excavations of foundation pit will inevitably lead to soil movements that may adversely impact surrounding facilities or structures. Thus, estimation of the ground displacement induced by excavation is essential in engineering practice.

Design/methodology/approach

Based on a theory of elastic mechanics, a simplified analytical method for predicting the ground lateral displacement resulting from foundation pit excavation is proposed.

Findings

As the distance from the soil to the supporting structure increases, the maximum ground lateral displacement decreases nonlinearly but at a reduced rate. Poisson’s ratio of soil has a mild influence on the ground lateral displacement, whereas the influence of the supporting structure’s deflection modes is significant.

Originality/value

The advantage of the proposed simplified analytical method lies in that it considers the supporting structure’s arbitrary deflections, giving it wider practical applicability than previous methods.

Details

Engineering Computations, vol. 37 no. 7
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 8 July 2019

Xiaoyue Liu, Xiaolu Wang, Li Zhang and Qinghua Zeng

With respect to multiple attribute group decision-making (MAGDM) in which the assessment values of alternatives are denoted by normal discrete fuzzy variables (NDFVs) and…

Abstract

Purpose

With respect to multiple attribute group decision-making (MAGDM) in which the assessment values of alternatives are denoted by normal discrete fuzzy variables (NDFVs) and the weight information of attributes is incompletely known, this paper aims to develop a novel fuzzy stochastic MAGDM method based on credibility theory and fuzzy stochastic dominance, and then applies the proposed method for selecting the most desirable investment alternative under uncertain environment.

Design/methodology/approach

First, by aggregating the membership degrees of an alternative to a scale provided by all decision-makers into a triangular fuzzy number, the credibility degree and expect the value of a triangular fuzzy number are calculated to construct the group fuzzy stochastic decision matrix. Second, based on determining the credibility distribution functions of NDFVs, the fuzzy stochastic dominance relations between alternatives on each attribute are obtained and the fuzzy stochastic dominance degree matrices are constructed by calculating the dominance degrees that one alternative dominates another on each attribute. Subsequently, calculating the overall fuzzy stochastic dominance degrees of an alternative on each attribute, a single objective non-linear optimization model is established to determine the weights of attributes by maximizing the relative closeness coefficients of all alternatives to positive ideal solution. If the information about attribute weights is completely unknown, the idea of maximizing deviation is used to determine the weights of attributes. Finally, the ranking order of alternatives is determined according to the descending order of corresponding relative closeness coefficients and the best alternative is determined.

Findings

This paper proposes a novel fuzzy stochastic MAGDM method based on credibility theory and fuzzy stochastic dominance, and a case study of investment alternative selection problem is provided to illustrate the applicability and sensitivity of the proposed method and its effectiveness is demonstrated by comparison analysis with the proposed method with the existing fuzzy stochastic MAGDM method. The result shows that the proposed method is useful to solve the MAGDM problems in which the assessment values of alternatives are denoted by NDFVs and the weight information of attributes is incompletely known.

Originality/value

The contributions of this paper are that to describe the dominance relations between fuzzy variables reasonably and quantitatively, the fuzzy stochastic dominance relations between any two fuzzy variables are redefined and the concept of fuzzy stochastic dominance degree is proposed to measure the dominance degree that one fuzzy variable dominate another; Based on credibility theory and fuzzy stochastic dominance, a novel fuzzy stochastic MAGDM method is proposed to solve MAGDM problems in which the assessment values of alternatives are denoted by NDFVs and the weight information of attributes is incompletely known. The proposed method has a clear logic, which not only can enrich and develop the theories and methods of MAGDM but also provides decision-makers a novel method for solving fuzzy stochastic MAGDM problems.

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