Goal programming

TL;DR: In this paper, an integrated decision support system was developed to assess existing office building conditions and to recommend an optimal set of sustainable renovation actions, considering trade-offs between renovation cost, improved building quality, and environmental impacts.

TL;DR: This paper surveys major models and theories in this area of fuzzy set theory and offers some indication on future developments which can be expected.

TL;DR: The GP-AHP method developed herein can concurrently tackle the pairwise comparison involving triangular, general concave and concave-convex mixed fuzzy estimates under a group decision-making environment.

TL;DR: A two-stage logarithmic goal programming (TLGP) method is proposed to generate weights from interval comparison matrices, which can be either consistent or inconsistent, and is applicable to fuzzy comparison matrix when they are transformed into interval comparison Matrices using @a-level sets and the extension principle.

TL;DR: In this paper, the authors suggest alternative assignment procedures, utilizing a set of interrelated goal programming formulations, and demonstrate the potential of these procedures to play a significant part in addressing the discriminant problem, and indicate fundamental ideas that lay the foundation for other sophisticated approaches.