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The Eighth International Conference on Information and Management Sciences

作者： Danni Guo~1 and Renkuan Guo~2 1 Kirstenbosch Research Center south african national biodiversity institute private bag x7 Claremont 7735 Cape Town south Africa 2 Department of Statistical Sciences University of Cape Town private bag Rondebosch 7701 Cape Town south Africa

＜正＞In this paper,we discuss a statistical simulation approach to obtain a sequence of realizations of a random fuzzy ***,we extend the simulation scheme to random fuzzy Brownian process and the spatial random fuzzy... 详细信息

关键词： Credibility measure Probability measure Fuzzy variable Random fuzzy variable Statistical simulation

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Applications of Uncertain Canonical Process in Spatial Predictions

Applications of Uncertain Canonical Process in Spatial Predi...

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第九届中国不确定系统年会、第五届中国智能计算大会、第十三届中国青年信息与管理学者大会

作者： Danni Guo~1,Renkuan Guo~2,and Yanghong Cui~2 1 Kirstenbosch Research Center,south african national biodiversity institute,private bag x7,Claremont 7735, Cape Town,south Africa 2 Department of Statistical Sciences,University of Cape Town,private bag,Rondebosch,7701,Cape Town, south Africa

The Quiver trees spread in arid Namibia and south *** order to investigate the spatial distribution pattern associated with climate changes, from 2002 to 2008,Quiver trees observational data were *** to the financial constraint,data set is not large enough and even uncompleted:only forty-three out of the originally designated fifty-three observational sites,which causes extreme difficulties in the spatial pattern *** our preliminary analysis,we found that the growth of the Quiver trees is robust to climate variables,say,rainfall and temperature and further that even for close sites geographically,the growths can be very diversified, which implies conventional kriging prediction or the inverse distance approach not working in the *** this paper,we define signal to noise ratio as a habitat measure for the Quiver Trees and engage the uncertain interpolation and extrapolation approaches including the uncertain canonical process regression and uncertain kriging prediction,for the habitat measure of the ten"missing"sites.

关键词： Quiver trees habitat measure habitat distance uncertain measure uncertain canonical process regression uncertain kriging prediction

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Theory of λ algorithm

Theory of λ algorithm

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第九届中国不确定系统年会、第五届中国智能计算大会、第十三届中国青年信息与管理学者大会

作者： Yanghong Cui~1,Renkuan Guo~1,and Danni Guo~2 1 Department of Statistical Sciences,University of Cape Town,private bag,Rondebosch,7701, Cape Town,south Africa 2 Kirstenbosch Research Center,south african national biodiversity institute,private bag x7, Claremont 7735,Cape Town,south Africa

Genetic algorithm(GA)is most famous and useful algorithm belongs to the class of Evolutionary algorithm(EA).However,often an objective function possesses numerous local optima,which could trap GA from moving toward the desired global *** provides extremely long length of binary string,unsure position of two chromosomes crossover,turbid mutation methods,which fearfully limit the efficiency of *** this paper,we propose a new metaheuristic optimization algorithm named asλ*** new algorithm utilizes strings of digits from member set {0,1,2,3,and 4} to represent the fitness values of candidate solutions(represented as vectors in n-dimensional Euclidean space).Theλalgorithm draws useful information from both repeated and unrepeated digits of strings(candidate solutions),to simulate global advanced schema towards final *** new algorithm only asks 3 or 4 digits to represent an unknown variable, but still could access very precision ***λcomparison and expansion operations instead of inefficient mutation operation,which allowed the strings select more efficient schema from the *** using crossover,stochastic coding strategy,population selection,PSO methods...all of the existing optimization methods,the new algorithm still could achieve the highest searching efficiency, better optimized than most of existing algorithm.

关键词： λalgorithm metaheuristic optimization five elements advanced schema original the highest searching efficiency

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Uncertainty Decision Analysis

Uncertainty Decision Analysis

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第八届中国不确定系统年会

作者： Renkuan Guo~1,Yanghong Cui~1,and Danni Guo~2 1 Department of Statistical Sciences,University of Cape Town,private bag, Rondebosch,7701,Cape Town,south Africa 2 Kirstenbosch Research Center,south african national biodiversity institute, private bag x7,Claremont 7735,Cape Town,south Africa

＜正＞Statistical decision theory is a framework with a probabilistic foundation,which admits the random uncertainty about the real world and human *** this paper,we propose a theoretical framework for the observational data oriented decision analysis under general uncertainty environments. We start with the three basic elements of an uncertainty decision problem,evolve naturally to the investigation on the unique characteristic and the fundamental roles of uncertainty distribution underlying the observational data in decision process,and finally end at the establishment of an uncertainty Bayesian data modeling under the Maximum Uncertainty Principle.

关键词： Statistical decision state space action space loss function risk uncertain measure the essential form of uncertain distribution uncertainty decision uncertainty Bayesian analysis

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Uncertain Canonical Process Driven Models and Data Analysis

Uncertain Canonical Process Driven Models and Data Analysis

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第九届中国不确定系统年会、第五届中国智能计算大会、第十三届中国青年信息与管理学者大会

作者： Renkuan Guo~1,Yanghong Cui~1,and Danni Guo~2 1 Department of Statistical Sciences,University of Cape Town,private bag,Rondebosch,7701,Cape Town, south Africa 2 Kirstenbosch Research Center,south african national biodiversity institute,private bag x7,Claremont 7735, Cape Town,south Africa

Classical statistical modeling and data analysis are typically assuming certain distributional family governing the behavior of data *** driven force is either a hypothesized probability distributional family or a stochastic *** example,Gaussian process regression models have Gaussian process as their driven *** the new uncertainty statistical modeling and data analysis on the uncertain measure foundation should be developed similarly and *** this paper, based on the reviewing the basic elements to build up a Gaussian process regression model,we propose a framework of the uncertain canonical process driven models and data analysis.

关键词： Statistical model and analysis Gaussian process driven models uncertain measure uncertain calculus uncertain canonical process driven models

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The Autocorrelation of a Standard Uncertain Canonical Process

The Autocorrelation of a Standard Uncertain Canonical Proces...

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The Second International Conference on Uncertainty Theory

作者： ~1Wei Dai ~2Renkuan Guo ~3Danni Guo ~2Yanhong Cui 1 Central University of Finance and Economics Beijing China 2 University of Cape Town private bag Rondebosch 7701 Cape Town south Africa 3 south african national biodiversity institute Kirstenbosch Cape Town south Africa

＜正＞In uncertainty statistics,the knowledge of the uncertainty multivariate joint distribution or at least the marginal distributions and the correlation structure of the uncertainty variables is *** this paper,we investigate the intrinsic autocorrelation structure of an uncertain canonical process and thus paves one of the way toward the uncertainty statistical estimation on the uncertain canonical process regression modeling.

关键词： Uncertain measure Gaussian processes Lipschitz continuity uncertain canonical process intrinsic autocorrelation

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A New Algorithm for Finding Numerical Solutions of Optimal Feedback Control Law

A New Algorithm for Finding Numerical Solutions of Optimal F...

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第25届中国控制会议

作者： Guo Baozhu, Sun Bing institute of Systems Science, Academy of Mathematics and Systems Science Chinese Academy of Sciences, Beijing 100080 School of Computational and Applied Mathematics, University of the Witwatersrand private bag 3, Wits 2050, Johannesburg, south Africa

＜正＞A new algorithm for finding numerical solutions of optimal feedback control of a class of general finite dimensional systems with multi-input is developed. The algorithm is based on the fact that the value function of the optimal control problem is the viscosity solution of its associated Hamilton-Jacobi-Bellman equation. An example that the closed form solutions of optimal feedback control-trajectory pairs are available is validated. It is shown that the numerical solutions completely tally with the analytical solutions.

关键词： Optimal Feedback Control Viscosity Solution Dynamic Programming Numerical Solutionl

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Fungal diversity notes 111-252-taxonomic and phylogenetic contributions to fungal taxa

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Fungal Diversity 2015年第6期75卷 27-274页

作者： Hiran A.Ariyawansa Kevin D.Hyde Subashini C.Jayasiri Bart Buyck K.W.Thilini Chethana Dong Qin Dai Yu Cheng Dai Dinushani A.Daranagama Ruvishika S.Jayawardena Robert Lücking Masoomeh Ghobad-Nejhad Tuula Niskanen Kasun M.Thambugala Kerstin Voigt Rui Lin Zhao Guo-Jie Li Mingkwan Doilom Saranyaphat Boonmee Zhu L.Yang Qing Cai Yang-Yang Cui Ali H.Bahkali Jie Chen Bao Kai Cui Jia Jia Chen Monika C.Dayarathne Asha J.Dissanayake Anusha H.Ekanayaka Akira Hashimoto Sinang Hongsanan E.B.Gareth Jones Ellen Larsson Wen Jing Li Qi-Rui Li Jian Kui Liu Zong Long Luo Sajeewa S.N.Maharachchikumbura Ausana Mapook Eric H.C.McKenzie Chada Norphanphoun Sirinapa Konta Ka Lai Pang Rekhani H.Perera Rungtiwa Phookamsak Chayanard Phukhamsakda Umpava Pinruan Emile Randrianjohany Chonticha Singtripop Kazuaki Tanaka Cheng Ming Tian Saowaluck Tibpromma Mohamed A.Abdel-Wahab Dhanushka N.Wanasinghe Nalin N.Wijayawardene Jin-Feng Zhang Huang Zhang Faten A.Abdel-Aziz Mats Wedin Martin Westberg Joseph F.Ammirati Timur S.Bulgakov Diogo x.Lima Tony M.Callaghan Philipp Callac Cheng-Hao Chang Luis F.Coca Manuela Dal-Forno Veronika Dollhofer Kateřina Fliegerová Katrin Greiner Gareth W.Griffith Hsiao-Man Ho Valerie Hofstetter Rajesh Jeewon Ji Chuan Kang Ting-Chi Wen Paul M.Kirk Ilkka Kytövuori James D.Lawrey Jia xing Hong Li Zou Yi Liu xing Zhong Liu Kare Liimatainen H.Thorsten Lumbsch Misato Matsumura Bibiana Moncada Salilaporn Nuankaew Sittiporn Parnmen AndréL.C.M.de Azevedo Santiago Sujinda Sommai Yu Song Carlos A.F.de Souza Cristina M.de Souza-Motta Hong Yan Su Satinee Suetrong Yong Wang Syuan-Fong Wei Ting Chi Wen Hai Sheng Yuan Li Wei Zhou Martina Réblová Jacques Fournier Erio Camporesi J.Jennifer Luangsa-ard Kanoksri Tasanathai Artit Khonsanit Donnaya Thanakitpipattana Sayanh Somrithipol Paul Diederich Ana M.Millanes Ralph S.Common Marc Stadler Ji Ye Yan xingHong Li Hye Won Lee Thi T.T.Nguyen Hyang Burm Lee Eliseo Battistin Orlando Marsico Alfredo Vizzini Jordi Vila Enrico Ercole Ursula Eberhardt Giampaolo Simonini Hua-An Wen xin-Hua Chen Otto Mie Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouChina Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanChina Centre of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailan Département Systématique et Evolution CP 39ISYEBUMR 7205 CNRS MNHN UPMC EPHEMuséum National d’Histoire Naturelle12 Rue BuffonF-75005 ParisFrance institute of Plant and Environment Protection Beijing Academy of Agriculture and Forestry SciencesNo.9 of Shu Guang Hua Yuan Zhong LuHaidian DistrictBeijing 10097China Microbial Drugs Helmholtz-Centre for Infection Research Inhoffenstrasse 738124 BraunschweigGermany Staatliches Museum für Naturkunde Stuttgart Rosenstein 1D-70191StuttgartGermany institute of Microbiology Beijing Forestry UniversityPO Box 61Beijing 100083China State Key Laboratory of Mycology Institute of MicrobiologyChinese Academy of SciencesNo 31st West Beichen RoadChaoyang DistrictBeijing 100101China The Herbarium(ANDA) Universitas AndalasPadangSumatera Barat 25163Indonesia Botanischer Garten&Botanisches Museum Berlin Freie Universität BerlinKönigin-Luise-Straße 6-814195 BerlinGermany Department of Biotechnology Iranian Research Organization for Science and Technology(IROST)P.O.Box 3353-5111Tehran ***Iran Jodrell Laboratory Royal Botanic GardensKew TW93DSUK Leibniz institute for Natural Product Research and Infection Biology Jena Microbial Resource CollectionAdolf-Reichwein-Strasse 2307745 JenaGermany Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box:2455Riyadh 1145Saudi Arabia The United Graduate School of Agricultural Sciences Iwate University18-8 Ueda 3 ChomeMorioka 020-8550Japan Faculty of Agriculture and Life Sciences Hirosaki University3 Bunkyo-choHirosakiAomori 036-8561Japan Department of Biological and Environmental Sciences University of GothenburgBox 461SE

This paper is a compilation of notes on 142 fungal taxa,including five new families,20 new genera,and 100 new species,representing a wide taxonomic and geographic *** new families,Ascocylindricaceae,Caryosporaceae and Wicklowiaceae(Ascomycota)are introduced based on their distinct lineages and unique *** new Dothideomycete genera Pseudomassariosphaeria(Amniculicolaceae),Heracleicola,Neodidymella and Pseudomicrosphaeriopsis(Didymellaceae),Pseudopithomyces(Didymosphaeriaceae),Brunneoclavispora,Neolophiostoma and Sulcosporium(Halotthiaceae),Lophiohelichrysum(Lophiostomataceae),Galliicola,Populocrescentia and Vagicola(Phaeosphaeriaceae),Ascocylindrica(Ascocylindricaceae),Elongatopedicellata(Roussoellaceae),Pseudoasteromassaria(Latoruaceae)and Pseudomonodictys(Macrodiplodiopsidaceae)are *** newly described species of Dothideomycetes(Ascomycota)are Pseudomassariosphaeria bromicola(Amniculicolaceae),Flammeascoma lignicola(Anteagloniaceae),Ascocylindrica marina(Ascocylindricaceae),Lembosia xyliae(Asterinaceae),Diplodia crataegicola and Diplodia galiicola(Botryosphaeriaceae),Caryospora aquatica(Caryosporaceae),Heracleicola premilcurensis and Neodidymella thailandicum(Didymellaceae),Pseudopithomyces palmicola(Didymosphaeriaceae),Floricola viticola(Floricolaceae),Brunneoclavispora bambusae,Neolophiostoma pigmentatum and Sulcosporium thailandica(Halotthiaceae),Pseudoasteromassaria fagi(Latoruaceae),Keissleriella dactylidicola(Lentitheciaceae),Lophiohelichrysum helichrysi(Lophiostomataceae),Aquasubmersa japonica(Lophiotremataceae),Pseudomonodictys tectonae(Macrodiplodiopsidaceae),Microthyrium buxicola and Tumidispora shoreae(Microthyriaceae),Alloleptosphaeria clematidis,Allophaeosphaeria cytisi,Allophaeosphaeria subcylindrospora,Dematiopleospora luzulae,Entodesmium artemisiae,Galiicola pseudophaeosphaeria,Loratospora luzulae,Nodulosphaeria senecionis,Ophiosphaerella aquaticus,Populocrescentia forlicesenensis and Vagicola vagans(Phaeosphaeriaceae),Elon

关键词： Fungi Taxonomy New genus New species Phylogeny

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