By Zeungnam Bien, Sang Wan Lee (auth.), Bing-yuan Cao, Guo-jun Wang, Shui-li Chen, Si-zong Guo (eds.)

This publication is the court cases of the second foreign convention on Quantitative good judgment and tender Computing (QL & SC 2010) from Oct. 22-25, 2010 in Xiamen, China. merely fine quality papers are incorporated. The second foreign convention on Quantitative good judgment and delicate Computing (QL & SC 2010), outfitted at the luck of earlier meetings, the QL & QS 2009 (Shanghai, China), is a tremendous symposium for scientists, engineers and practitioners in China to give their up-to-date effects, principles, advancements and purposes in all components of quantitative common sense and tender computing. It goals to bolster kinfolk among learn laboratories and universities, and to create a prime symposium for international scientists in quantitative common sense and gentle computing fields as follows: 1) Quantitative good judgment. 2) Fuzzy units and platforms. three) delicate Computing.

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Extra resources for Quantitative Logic and Soft Computing 2010: Volume 2

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Kluwer Academic Publishers, Dordrecht (2004) 2. : Graded mean integration representation of generalized fuzzy number. wdl), p. 31 (1998) 3. : Ranking generalized fuzzy number with graded mean integration representation. In: Proceedings of the Eighth International Conference of Fuzzy Sets and Systems Association World Congress, vol. 2, pp. 551–555 (1999) 4. : Representation, Ranking, Distance, and Similarity of L-R type Fuzzy Number and Application. Australian Journal of Intelligent Information Processing Systems 6(4), 217–229 (2000) 5.

A Service Recommendation Using Reinforcement Learning for Network-based Robots in Ubiquitous Computing Environments. In: Proc. The 16th IEEE International Symposium on Robot and Human interactive Communication, pp. 821–826 (2007) 39. : Context-aware user model for personalized services. In: Proc. Third International Conference on Digital Information Management, pp. 858–863 (2008) 40. : A Support Method for Improving Learner’s Learning Habit Using Behavior Analysis in a Ubiquitous Environment.

P. H. Hsieh truth values. We thought this is quite a novelty. Furthermore, a linguistic truth relation determined by a linguistic implication defined on a single linguistic truth set and the IF−THEN natural operation on conditional linguistic proposition such as “If s, then t” is proposed. Moreover, linguistic approximate reasoning under generalized modus ponens and generalized modus tollens are introduced by using a linguistic truth relation and some natural operations of linguistic logic. In the following, representing and ranking of linguistic truth values in linguistic logic by using Graded Mean Integration Representation method are discussed.

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