Land grade has a crucial role to develop appropriate standard benchmark prices on thernlease of land and for the valuation of land related property. It also brings transparent andrnclear taxation systems that could establish sound and efficient land marketing system thatrnwould facilitate investment. However, the existing land grade system of the urban centersrnof Ethiopia such as Woldiya town has not been very successful in allowing the town tornbenefit from the advantages of having an efficient land grading system. The majorrnreasons behind the limitations emanate from two main factors. The first reason is relatedrnto that important factors have not been exhaustively considered in designing urban landrngrading system. The second problem is related to a methodological approach on how landrngrade is prepared and implemented. Moreover, despite the fact that many geographicalrnphenomena like land grade have fuzzy characteristics, currently most of the geographicrnphenomena are represented by crisp. Hence, the intent of this study is to developrnconceptual fuzzy land grade model that is helpful to bring flexible land grading thatrnenables to give decision makers an informed decision. In any of these methods, factorrnidentification, weighting and integrating GIS and fuzzy logic approaches are importantrnprerequisites that serve as platform to develop land grading. To design the conceptualrnmodel, five main factors have been considered, namely infrastructure, land use,rntopographic characteristics, visual and environmental factors and population density.rnTwenty four criteria were also considered under each main factor. In this study differentrndata sources are utilized namely, Quick Bird image (2009) master plan of 1995 and 2009.rnThe study confirmed that among the identified factors infrastructure takes the major sharernwith 51% weighting influence and land use is in second position with weight influencern25.6 %. Topography, environmental and visual quality and population density factorsrnhave weight influences of 12.6%, 6.9% and 3.9 % respectively. This study used FAHP torndetermine criteria weights. The fuzzy consistency ratio (FCR) result was obtained to bern0.06. Based on the research findings, the most valuable land is situated in the old sectionrnof the town (CBD) where comprehensive infrastructure has been developed. The fuzzyrnanalysis indicates that there is a gradual change in urban land grading pattern. Thisrnindicates that flexibility is another characteristic of fuzzy logic application. The final outrnput map indicates grade one, grade two and grade three have positively increased byrn5.37%, 4.28% and 2.85%, respectively as compared to the existing land grading. Thisrnsituation is happened due to infrastructure development and expansion of the town. Tornsum up, this paper indicates that the fuzzy modeling approach can avoid the loss ofrninformation that often arises when the strict Boolean logic is used on the basis of the crisprnsets (Yes/No) and can produced a better and more reasonable result than crisp. It is alsornconcluded that FAHP is the best alternative to determine the criteria weights fromrnjudgments of decision-making domain of experts.