Quality function development (QFD) is a planning tools used to fulfill customer expectation and QFD is a systematic process to translating customer requirement (WHATs) into technical description (HOWs). QFD aims to maximize customer satisfactions related to enterprise satisfaction. The inherent fuzziness of relationships in QFD modeling justifies the use of fuzzy regression for estimating the r...

Numerous techniques have been used to identify flow-regimes and liquid holdup in horizontal multiphase flow, but often neither perform well nor very accurate. Recently, neuro-fuzzy inference systems learning scheme have been gaining popularity in its capability for solving both prediction and classification problems. It is a hybrid intelligent systems scheme that is able to forecast an output i...

we study interior operators and interior structures in a fuzzy setting.we investigate systems of “almost open” fuzzy sets and the relationshipsto fuzzy interior operators and fuzzy interior systems.

Software usability became an important quality factor in recent years due to the increasing demand of interactive software systems. Now mostly systems are developing using object-oriented methodology. The object-oriented methodology reduces design complexity, so enhances usability. Also objectoriented approach improves the usability of software system when software engineering process combined ...

In recent years, the use of Fuzzy set theory has been popularised for handling overlap domains in control engineering but this has mostly been within the context of triangular membership functions. In actual practice however, such domains are hardly triangular and in fact for most engineering applications the membership functions are usually Gaussian and sometimes cosine. In an earlier paper, w...

Dubois. D. , Prade. H. 1980. Fuzzy Sets and Systems. Mathematics in Science and Engineering, Academic Press, New York, 144. Jun. Y. B. , Kavikumar. J. 2011. Bipolar Fuzzy Finite State Machines. Bull. Malays. Sci. Soc. 34 no. 1: 181-188. Kandel. A. , Lee. S. C. Fuzzy Switching and Automata Theory Applications. Edward Arnold Publishers Ltd, London. Lee. K. J. 2000. Bipolar-valued fuzzy sets and t...

With the increasing requirements for energy, resources and space, numerous rock engineering projects (e [...]

This is a review paper which sets the scene by defining some fundamental concept, such as intelligence and intelligent systems, and then discusses current trends in applications of artificial intelligence in engineering. The author reviews five key paradigms of artificial intelligence in engineering: knowledge-based systems, neural networks, genetic algorithms, fuzzy logic and intelligent agents.

Dubois. D. , Prade. H. 1980. Fuzzy Sets and Systems. Mathematics in Science and Engineering, Academic Press, New York, 144. Jun. Y. B. , Kavikumar. J. 2011. Bipolar Fuzzy Finite State Machines. Bull. Malays. Sci. Soc. 34 no. 1: 181-188. Kandel. A. , Lee. S. C. Fuzzy Switching and Automata Theory Applications. Edward Arnold Publishers Ltd, London. Lee. K. J. 2000. Bipolar-valued fuzzy sets and t...