Yizeng Chen

TL;DR: A method is proposed in this paper using fuzzy weighted average method in the fuzzy expected value operator in order to rank technical attributes in fuzzy QFD.

TL;DR: An asymmetric fuzzy linear regression approach is proposed to estimate the functional relationships for product planning based on QFD and shows that trapezoidal fuzzy number coefficients have more flexibility to handle a wider variety of systematic uncertainties and ambiguities that cannot be modeled efficiently using triangular number fuzzy coefficients.

TL;DR: A new fuzzy regression-based mathematical programming approach for QFD product planning is presented in this article, where fuzzy regression theories with symmetric and non-symmetric triangular fuzzy coefficients are discussed to identify the relational functions between engineering characteristics and customer requirements and among engineering characteristics.

TL;DR: A novel fuzzy expected value operator approach is proposed in this paper to model the QFD process in a fuzzy environment, and two fuzzy expectedvalue models are established to determine the target values of engineering characteristics in handling different practical design scenarios.

TL;DR: In this article, an operational QFD planning problem with resource allocation is considered, where the aim is to plan the attainment of TAs by allocating resources among the TAs with a view to achieving maximized overall customer satisfaction.