Friday 22 October 2021

IEEE Transactions on Fuzzy Systems: Volume 29, Issue 9, September 2021

1. Linguistic Opinions Dynamics Based on Personalized Individual Semantics
Author(s): Haiming Liang;Cong-Cong Li;Yucheng Dong;Francisco Herrera
Pages: 2453 - 2466

Author(s): Jing Xu;Yugang Niu;Hak-Keung Lam
Pages: 2467 - 2478

Author(s): Subhrajit Samanta;Mahardhika Pratama;Suresh Sundaram
Pages: 2479 - 2490

Author(s): Kai Zhang;Jianming Zhan;Wei-Zhi Wu
Pages: 2491 - 2505

Author(s): Cheng Yang;Sung-Kwun Oh;Witold Pedrycz;Zunwei Fu;Bo Yang
Pages: 2506 - 2520

Author(s): Aiwen Meng;Hak-Keung Lam;Fucai Liu;Yingjie Yang
Pages: 2521 - 2531

Author(s): Xiao-Lei Wang;Guang-Hong Yang;Dianhua Zhang
Pages: 2532 - 2542

Author(s): Chaoxu Guan;Zhongyang Fei;PooGyeon Park
Pages: 2543 - 2552

Author(s): Huaguang Zhang;Yang Liu;Jing Dai;Yingchun Wang
Pages: 2553 - 2564

Author(s): Peide Liu;Peng Wang;Witold Pedrycz
Pages: 2565 - 2579

Author(s): Mengshen Chen;Huaicheng Yan;Hao Zhang;Ming Chi;Zhichen Li
Pages: 2580 - 2592

Author(s): Songtao Zhang;Yi Cui
Pages: 2593 - 2602

Author(s): Lei Jia;Lin Xiao;Jianhua Dai;Yingkun Cao
Pages: 2603 - 2611

Author(s): Weilin Deng;Daowen Qiu;Jingkai Yang
Pages: 2612 - 2622

Author(s): Bo Wu;Xiao-Heng Chang;Xudong Zhao
Pages: 2623 - 2634

Author(s): Liandi Fang;Shihong Ding;Ju H. Park;Li Ma
Pages: 2635 - 2646

Author(s): Jingyuan Wang;Zhen Peng;Xiaoda Wang;Chao Li;Junjie Wu
Pages: 2647 - 2660

Author(s): Ehsan Adel-Rastkhiz;Mohammad-R. Akbarzadeh-T
Pages: 2661 - 2674

Author(s): Jing Yang;Shenggang Li;Zeshui Xu;Heng Liu;Wei Yao
Pages: 2675 - 2688

Author(s): Bowen Zhang;Yucheng Dong;Xin Feng;Witold Pedrycz
Pages: 2689 - 2700

Author(s): Yingjie Deng;Xianku Zhang
Pages: 2701 - 2713

Author(s): Wen-Bo Xie;Bing Liu;Lin-Wei Bu;Yu-Long Wang;Jian Zhang
Pages: 2714 - 2725

Author(s): Muhammad Aminul Islam;Derek T. Anderson;Timothy C. Havens;John E. Ball
Pages: 2726 - 2738

Author(s): Zhiqiang Ma;Panfeng Huang;Zhian Kuang
Pages: 2739 - 2749

Author(s): Bo Xiao;Hak-Keung Lam;Hongying Zhou;Jianli Gao
Pages: 2750 - 2759

Author(s): Meng Wang;Gang Feng;Huaicheng Yan;Jianbin Qiu;Hao Zhang
Pages: 2760 - 2773

Author(s): Ali Safari Mamaghani;Witold Pedrycz
Pages: 2774 - 2784

Author(s): Ziwei Wang;Hak-Keung Lam;Bo Xiao;Zhang Chen;Bin Liang;Tao Zhang
Pages: 2785 - 2797

Author(s): Xiaolong Chen;Han Zhao;Shengchao Zhen;Hao Sun
Pages: 2798 - 2809

Author(s): Shuisheng Zhou;Dong Li;Zhuan Zhang;Rui Ping
Pages: 2810 - 2818

Author(s): Sébastien Delprat;Jorge Álvarez;Marcelino Sánchez;Miguel Bernal
Pages: 2819 - 2824

Author(s): Michał Boczek;LeSheng Jin;Radko Mesiar;Ronald R. Yager
Pages: 2825 - 2827

Author(s): Raúl Pérez-Fernández;Bernard De Baets;Marek Gagolewski;Juan Jesús Salamanca
Pages: 2828 - 2828

Thursday 21 October 2021

𝗜𝗘𝗘𝗘 𝗖𝗜𝗦 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗧𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴

𝗜𝗘𝗘𝗘 𝗖𝗜𝗦 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗧𝗵𝗲 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 Fri, Nov 12, 2021 10:00 AM - 11:00 AM EST Registration: https://register.gotowebinar.com/register/3512292456264990224 Abstract: The below citation from J. Pearl’s works expresses the current trend in Computational Intelligence (CI) well: “Causal reasoning is an indispensable component of human thought that should be formalized ... toward achieving human-level machine intelligence”. Causal reasoning is, perhaps, the most advanced type of inference used in decision support systems. It currently amalgamates the evolution of inference which started with a rule-based reasoning and continued to the case-based and probabilistic reasoning. It has emerged from a Bayesian approach, and advanced to efficient representation such as Bayesian belief networks. Their role in multiple CI applications will be reviewed in this talk. Most recently, the much-developed area of pattern recognition, also known as machine learning, and its most advanced implementation, ‘deep learning’, have come to understanding of importance of ‘relations’ in pattern recognition, and even created the term ‘deep reasoning’. In this talk, we will focus on examples of causal reasoning for biometric-enabled decision support, and for the performance assessment of decision support systems. Biography: Dr. Svetlana Yanushkevich (SM IEEE 2004) is a full professor in the Department of Electrical & Software Engineering at Schulich School of Engineering (SSE), University of Calgary (UofC). She holds a Dr. Habilitated in Tech. Sci. (1999) from the Technical University of Warsaw, and joined the UofC in 2001. She is a founder of the Biometric Technologies Laboratory at the UofC. With her team in the Biometric Technologies Laboratory, she is developing novel decision support and risk assessment strategies based on machine reasoning, with applications to biometric-enabled access control and healthcare monitoring and diagnostics. She authored a monograph "Inverse Biometric Systems" (Taylor&Francis) and five other monographs and textbooks on the CI and digital design. She is also currently an Associate Dean, Equity, Diversity & Inclusion, and Research in the SSE at UofC.

Saturday 2 October 2021

Start learning today! For IEEE Day 2021, the IEEE Learning Network (ILN) is offering 10 select courses at US $10 each. Get courses on #5G, #MachineLearning, #Blockchain, and more. See the courses today.

Start learning today! For IEEE Day 2021, the IEEE Learning Network (ILN) is offering 10 select courses at US $10 each. Get courses on #5G, #MachineLearning, #Blockchain, and more. See the courses today. #ContinuingEducation #IEEEDay21 #IEEELearn https://bit.ly/2XQlhDV

How can #technology professionals ensure that technology development and deployment have the best possible positive impact? Join #IEEETechEthics on #IEEE Day as we engage in conversation and Q&A with leading experts. Register free at bit.ly/TechEthicsOct21 #techethics #stewardship

How can #technology professionals ensure that technology development and deployment have the best possible positive impact? Join #IEEETechEthics on #IEEE Day as we engage in conversation and Q&A with leading experts. Register free at bit.ly/TechEthicsOct21 #techethics #stewardship

Want to know more about AI? Follow the topic on the all new IEEE Spectrum website https://bit.ly/3in1TWt

Save the date! Please join us Thursday, 07 October for a free live stream event! IEEE Member and TEDx Speaker, Muhammad Hamza Ihtisham, offers his insights on building relationships in the workplace.

Save the date! Please join us Thursday, 07 October for a free live stream event! IEEE Member and TEDx Speaker, Muhammad Hamza Ihtisham, offers his insights on building relationships in the workplace. In this session, Muhammad will share his professional experience by discussing: Relationships and their types Soft Skills Characteristics of an Effective Leader Effective Relationship Building Register here: https://engage.ieee.org/Effective-Relation-Building-as-a-Leader.html