Abstract
As populations grow, facilities such as roads, bridges, railways lines, commercial and residential buildings, etc., must be expanded and maintained. There are extensive networks of underground facilities to fulfil the demand, such as water supply pipelines, sewage pipelines, metro structures, etc. Hence, a method to regularly assesses the risk of the underground facility failures is needed to decrease the chance of accidental loss of service or accidents that endanger people and facilities. In the proposed work, a cohesive hierarchical fuzzy inference system (CHFIS) was developed. A novel method is proposed for membership function (MF) determination called the heuristic based membership functions determination (HBMFD) method to determine an appropriate MF set for each fuzzy logic method in CHFIS. The proposed model was developed to decrease the number of rules for the full structure fuzzy inference system with all rule implementation. Four very crucial parameters were considered in the proposed work that are inputs to the proposed CHFIS model in order to calculate the risk of water supply pipelines. In order to fully implement the proposed CHFIS just 85 rules are needed while using the traditional Mamdani fuzzy inference system, 900 rules are required. The novel method greatly reduces implementation time and rule design sets that are extremely time consuming to develop and difficult to maintain.
Highlights
The idea of risk was first given in the field of economy in the last year of the 19th century; nowadays its use is common nearly in all fields
We have considered age, depth, length, and height because these are incredibly significant factors and due to which failures may occur to water supply pipelines
To overcome the issue of rules-explosion in the conventional fuzzy logic (CFL) model, hierarchical fuzzy logic (HFL) models were designed in the proposed work to assess the water supply pipelines risk index
Summary
The idea of risk was first given in the field of economy in the last year of the 19th century; nowadays its use is common nearly in all fields. To overcome the issue of rule-explosion, a solution is to divide the fuzzy inference system in sub-modules in a hierarchical form In this hierarchical fuzzy logic method, the low-level modules provide fractional solutions; these fractional solutions are combined in the high-level modules to provide a complete result for a problem. To overcome the issue of rules-explosion in the CFL model, hierarchical fuzzy logic (HFL) models were designed in the proposed work to assess the water supply pipelines risk index. A cohesive hierarchical fuzzy inference system (CHFIS) model for water supply pipelines (WSPLs) risk index assessment was proposed. The purpose of the CHFIS model is dimensionality reduction because a large number of rules requires much effort from experts and increases the probability of errors.
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