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"This paper discusses the human and economic aspects of working remotely from home as a consequence of quarantine protocols due to the global coronavirus pandemic in 2020. Data were analyzed form 130 survey participants focusing on their perceptions of discruption to the ways people used to do their job before the pandemic."

"Kemajuan dari metode kuantitatif telah mengaburkan batas antar bidang ilmu. Para peneliti di bidang sosial, ekonomi, sains dan teknologi telah berlomba-lomba dalam mengembangkan metode kuantitatif untuk meningkatkan obyektifitas dan transparansi. Hal ini ditandai oleh munculnya teknik-teknik analisis data yang canggih yang diterapkan pada semua bidang kajian. Keterbatasan dari metode Statistika klasik yaitu terdapat beberapa asumsi yang harus dipenuhi agar hasil analisis dapat dipertanggung jawabkan, pada penerapannya di dunia nyata, asumsi itu tidak mudah untuk dipenuhi. Hal ini mendorong peneliti mengembangkan metode yang minim atau bahkan bebas dari asumsi. Kecerdasan buatan merupakan pendekatan kuantitatif yang berdasarkan pada proses pembelajaran melalui pendekatan komputasi. Salah satu metode kecerdasan buatan yang sedang popular untuk analisis data adalah Fuzzy Inference System (FIS) atau sisten fuzzy."

"The purpose of this book is to present an up to date account of fuzzy ideals of a semiring. The book concentrates on theoretical aspects and consists of eleven chapters including three invited chapters. Among the invited chapters, two are devoted to applications of Semirings to automata theory, and one deals with some generalizations of semirings. "

"Rough sets : selected methods and applications in management and engineering provides context to rough set theory, with each chapter exploring a real-world application of rough sets."

"Increasing environmental problems enforce companies to be more environmental responsible. A conmpany's environmental performance is not only related to the company's inner environmental efforts, but also it is affected by the suppliers' environmental performance and image...."

"The purpose of this book is to present a methodology for designing and tuning fuzzy expert systems in order to identify nonlinear objects; that is, to build input-output models using expert and experimental information. The results of these identifications are used for direct and inverse fuzzy evidence in forecasting and diagnosis problem solving.The book is organised as follows : Chapter 1 presents the basic knowledge about fuzzy sets, genetic algorithms and neural nets necessary for a clear understanding of the rest of this book. Chapter 2 analyzes direct fuzzy inference based on fuzzy if-then rules. Chapter 3 is devoted to the tuning of fuzzy rules for direct inference using genetic algorithms and neural nets. Chapter 4 presents models and algorithms for extracting fuzzy rules from experimental data. Chapter 5 describes a method for solving fuzzy logic equations necessary for the inverse fuzzy inference in diagnostic systems. Chapters 6 and 7 are devoted to inverse fuzzy inference based on fuzzy relations and fuzzy rules. Chapter 8 presents a method for extracting fuzzy relations from data. All the algorithms presented in Chapters 2-8 are validated by computer experiments and illustrated by solving medical and technical forecasting and diagnosis problems. Finally, Chapter 9 includes applications of the proposed methodology in dynamic and inventory control systems, prediction of results of football games, decision making in road accident investigations, project management and reliability analysis. "

"This book bridges the gap between academics in computer science and traders and explains the basic ideas of the proposed systems and the financial problems in ways that can be understood by readers without previous knowledge on either of the fields. To cement the ideas discussed in the book, software packages are offered that implement the systems described within.The book is structured so that each chapter can be read independently from the others. Chapters 1 and 2 describe evolutionary computation. The third chapter is an introduction to financial engineering problems for readers who are unfamiliar with this area. The following chapters each deal, in turn, with a different problem in the financial engineering field describing each problem in detail and focusing on solutions based on evolutionary computation. Finally, the two appendixes describe software packages that implement the solutions discussed in this book, including installation manuals and parameter explanations."

"Topics and features presents a detailed overview of Arabic character recognition technology, covering a range of different aspects of pre-processing and feature extraction, reviews a broad selection of varying approaches, including HMM-based methods and a recognition system based on multidimensional recurrent neural networks, examines the evaluation of Arabic script recognition systems, discussing data collection and annotation, benchmarking strategies, and handwriting recognition competitions, describes numerous applications of Arabic script recognition technology, from historical Arabic manuscripts to online Arabic recognition."

"This book constitutes the refereed proceedings of the 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC, held in Chengdu, China, in August 2012, as one of the co-located conferences of the 2012 Joint Rough Set Symposium, JRS 2012. The 55 revised full papers presented together with one keynote paper were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on rough sets and its applications, current trends in computing, decision-theoretic rough set model and applications, formal concept analysis and granular computing, mining complex data with granular computing, and data mining competition."