An interactive fuzzy programming system
Fuzzy Sets and Systems
A branch and bound algorithm for the bilevel programming problem
SIAM Journal on Scientific and Statistical Computing
New branch-and-bound rules for linear bilevel programming
SIAM Journal on Scientific and Statistical Computing
Nonlinear time/cost tradeoff models in project management
Computers and Industrial Engineering
Decentralized multi-objective bilevel decision making with fuzzy demands
Knowledge-Based Systems
International Journal of Approximate Reasoning
Fuzzy-Like Multiple Objective Decision Making
Fuzzy-Like Multiple Objective Decision Making
A class of rough multiple objective programming and its application to solid transportation problem
Information Sciences: an International Journal
Hesitant fuzzy prioritized operators and their application to multiple attribute decision making
Knowledge-Based Systems
Combining prospect theory and fuzzy numbers to multi-criteria decision making
Expert Systems with Applications: An International Journal
A study of TODIM in a intuitionistic fuzzy and random environment
Expert Systems with Applications: An International Journal
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This paper considers a bi-level multi-objective benefit trade-off problem between a green building developer and a contractor under a fuzzy environment. The objective functions and constraints are established on the characteristics and mechanism of the problem. In contrast to previous studies, a similarity relation based on the fuzzy measure Pos is defined, based on which, the rough approximation method is adopted for addressing the feasible region featured by the constraints that contain fuzzy coefficients. In order to deal with the fuzzy coefficients in the objective functions, an expected value operator based on Me is employed. Then two rough approximation-based bi-level multi-objective strategy models are developed. To solve the complex and non-linear bi-level multi-objective models, a rough simulation, an interactive fuzzy programming technique and a hybrid genetic algorithm, in which the F-TODIM is embedded, is designed as a combined solution method. Finally, an application for a developer of Yuexiu real estate and its contractor is given as an illustration that demonstrates the practicality and efficiency of the optimization method.