Fuzzy and hybrid methods have been increasingly used in construction risk management
research and this study aims to compile and analyse the basic concepts and methods …

The prevailing practice of design for mass customization manifests itself through a configure-
to-order paradigm, which means to satisfy explicit customer needs (CNs) and built upon …

Evolutionary algorithms often have to solve optimization problems in the presence of a wide
range of uncertainties. Generally, uncertainties in evolutionary computation can be divided …

Machine learning is inherently a multiobjective task. Traditionally, however, either only one
of the objectives is adopted as the cost function or multiple objectives are aggregated to a …

Design concept evaluation plays a critical role in the early phases of product development
as it has significant impact on the downstream development processes as well as on the …

Conventional model-based data processing methods are computationally expensive and
require experts' knowledge for the modelling of a system. Neural networks are a model-free …

A procedure for the calculation of a texture-derived built-up presence index (PanTex) from
textural characteristics of panchromatic satellite data is presented. The index is based on …

Decision making is the process of finding the best option among the feasible alternatives. In
classical multiple attribute decision making (MADM) methods, the ratings and the weights of …

Abstract Design concept evaluation is one of the most important phases in the early stages
of the design process as it not only significantly affects the later stages of the design process …

The modern science is still striving to develop consciousness-based machine. In the last
century, enormous industrial and technological developments had taken place. Technology …