Inexact rough-interval type-2 fuzzy stochastic optimization model supporting municipal solid waste management under uncertainty. Issue 9 (2nd September 2019)

• Record Type: Journal Article
• Authors: Wang, Li; Jin, Lei
• Is Part Of: Engineering optimization. Volume 51:Issue 9(2019)
• Page Start: 1567
• Page End: 1580
• Publication Date: 2019-09-02
• Subjects: Rough-interval -- type-2 fuzzy -- stochastic -- linear programming -- uncertainty; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2018.1536753
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: In this study, an inexact rough-interval type-2 fuzzy stochastic linear programming (IRIT2FSLP) approach is developed for addressing uncertainties presented as rough-interval, type-2 fuzzy and random variables. The proposed method is applied to the case of a long-term municipal solid waste management system. The IRIT2FSLP approach is an extension of the inexact interval linear programming for handling nonlinear stochastic optimization problems where rough-interval and type-2 fuzzy parameters are integrated into a general framework. The results indicate that IRIT2FSLP normally leads to rough-interval solutions. Comparisons of the proposed model with scenarios without rough-interval and type-2 fuzzy parameters are also conducted. The results indicate the significant impact of dual-uncertain information on the system, which implies the reliability of IRIT2FSLP in handling waste flow allocation.