Research Article Comparison of Fuzzy AHP and Fuzzy TOPSIS for Road Pavement Maintenance Prioritization: Methodological Exposition and Case Study Yashon O. Ouma, J. Opudo, and S. Nyambenya Department of Civil and Structural Engineering, Moi University, P.O. Box 3900, Eldoret 30100, Kenya Correspondence should be addressed to Yashon O. Ouma; yashon o@hotmail.com Received 30 April 2015; Revised 15 June 2015; Accepted 16 June 2015 Academic Editor: Samer Madanat Copyright © 2015 Yashon O. Ouma et al. his is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For road pavement maintenance and repairs prioritization, a multiattribute approach that compares fuzzy Analytical Hierarchy Process (AHP) and fuzzy Technique for Order Preference by Ideal Situation (TOPSIS) is evaluated. he pavement distress data was collected through empirical condition surveys and rating by pavement experts. In comparison to the crisp AHP, the fuzzy AHP and fuzzy TOPSIS pairwise comparison techniques are considered to be more suitable for the subjective analysis of the pavement conditions for automated maintenance prioritization. From the case study results, four pavement maintenance objectives were determined as road safety, pavement surface preservation, road operational status and standards, and road aesthetics, with corresponding depreciating signiicance weights of =[0.37, 0.31, 0.22, 0.10]  . he top three maintenance functions were identiied as hin Hot Mix Asphalt (HMA) overlays, resurfacing and slurry seals, which were a result of pavement cracking, potholes, raveling, and patching, while the bottom three were cape seal, micro surfacing, and fog seal. he two methods gave nearly the same prioritization ranking. In general, the fuzzy AHP approach tended to overestimate the maintenance prioritization ranking as compared to the fuzzy TOPSIS. 1. Introduction Road pavement condition survey and assessment are an important component in the decision making procedure in pavement management systems (PMS). he two main reasons for the assessment of pavement condition are to recognize and prioritize maintenance requirements in spe- ciic road sections and to identify the pavement network conditions and, if any, the rehabilitation requirements [1]. In urban road maintenance and rehabilitation (M&R) projects, the evaluation of road pavement conditions is the initial phase that guarantees suitable and sustainable maintenance pro- grams [2]. For pavement M&R projects, speciic pavement mainte- nance management systems (PMMS) should be proposed, as suitable systems for the improvement of the eiciency of decision making. Furthermore, such systems should be able to provide feedbacks on the impacts of the decisions in terms of short and long term maintenance strategies and with respect to cost-beneit analysis [3]. A typical structure that integrates PMS, PMMS, and M&R is depicted in Figure 1. From Figure 1, it is seen that a PMS is supposed to be a coordinated and systematic process for carrying out all activities related to providing and maintaining pavements. On the other hand a PMMS should be able to predict the pavement condition and the cost associated with its M&R over a given time frame and also to aid in the planning and programming of the associated M&R works. In implementing PMMS, multicriteria priority ranking and analysis can be used to rank and select pavement sections due for mainte- nance in the order of urgency. PMMS is considered to be a timely, cost-beneicial, and preventive M&R approach in the maintenance as compared to the traditional reactive M&R approach. Pavement Maintenance Prioritization Using Multicriteria Decision Approach. he main multicriteria decision making approach is the Analytic Hierarchy Process (AHP) which was Hindawi Publishing Corporation Advances in Civil Engineering Volume 2015, Article ID 140189, 17 pages http://dx.doi.org/10.1155/2015/140189