Application of Fuzzy Multi-Objective Programming to Regional Sewer System Planning

Planning of sewer systems typically involves limitations and problems, regardless whether traditional planning methods or optimization models are used. Such problems include non-quantifiability, fuzzy objectives, uncertainties in decision-making variables which commonly applied the any process. Particularly, have prevented inclusion these models. Consequently, theoretical optional solution mathematical is not true optimum to practical problems. In this study, solve above for regional system planning, multi-objective programming (MOP), nonlinear programming, mixed-integer compromise were The objectives study two-fold: (1) determination necessary parameters, such as number plants, piping layout, size plant, extent treatment; (2) establishment a framework methodology optimal designing system, matching demanded targets with lowest cost, would achieve aim lower space energy requirements well consumption high treatment efficiency purpose meeting effluent standards. findings revealed that individual sewage plants could be merged form centralized system. Land acquisition was difficult; thus, reducing required. Therefore, compromise-fuzzy-based MOP method effectively used build plan, amount in-plant reached its maximized value minimized cost.