Fuzzy analytical hierarchy process (Fuzzy-AHP) technique as a knowledge-driven approach relies on the geologist’ s input to weight the importance of each evidence layer is applied for prospectivity modeling of Au mineralization within the Takhte-soleyman district. Firstly, in current study, all of the criteria and sub-criteria which are gained from exploratory data (geochemistry, remote sensing, geology and tectonic) are weighted by using AHP and thereafter are transformed into [0-1] range based on the Fuzzy logic. All fuzzified layers according to the calculated weights were synthesized and prospectivity modeling of Au mineralization based on the Fuzzy-AHP technique was generated. In this study, it was used another Fuzzy method based on the Fuzzy operators (OR and GAMMA) that called “ Fuzzy-GAMMA” to generate the map of promising areas of Au mineralization in the study area. Finally, in order to evaluate the ability of the applied methods in delineating reliable promising areas, locations of Au occurrences in the study area were used. Consequently, the results demonstrate the more acceptable outcomes for Fuzzy-AHP model by comparison with Fuzzy-GAMMA model.

In recent decades digging deep wells and a half deep flume was gradually replaced aqueduct that by the relative merits is attended the great environmental effects such as loss underground water level and creating subsidence phenomenon for most regions of interest. Recent studies have been accomplish in order to replace the underground dams instead of medium and small dams in order to optimize storage and use of water resources and reduce the environmental impacts. Site selection of underground dams quite complicated process due to geological, geomorphological and hydrological point of view. Determination of the role adjustment and importance of the variables is based on expert groups thoughts and usually this important is verbalize in linguistic variables form. Analytical Hierarchy process have possible in using the linguistic variables along quantitative variables and essentially is based on expert opinions. In recent years in order to increase the capability of AHP, this method combined with Fuzzy method and in the Fuzzy-AHP algorithm is presented. In this paper two methods of AHP and Fuzzy-AHP were used in determining appropriate areas for underground dams. Buckley and Bonissone methodes was used for implementing Fuzzy-AHP method and Yager method was used for defuzzicating Fuzzy utility values ũj From totale 56 outputs points of subbasine in AHP method, 26 points and in Fuzzy-AHP method, 15 points were overlapping with suitable and accessible areas. The results showed that the Fuzzy-AHP method has more flexibility and greater ability to determine appropriate areas dam.

Enterprise architecture (EA) is a discipline for understanding, engineering, and managing different components of an enterprise and their interrelationships. Moreover, because the risk and impact of EA are pervasive across the enterprise, it is critical to perform an architecture assessment before making any decision about choosing a scenario. This paper provides an approach based on Fuzzy Analytical Hierarchy Process towards EA analysis. It proposes a quantitative method of assessing quality attribute achievement of different scenarios using AHP based on the knowledge and experience of EA experts and domain experts. Due to the vagueness and uncertainty in the judgments of participants, the crisp pair-wise comparison in the conventional AHP is insufficient and imprecise to capture the right judgments. Therefore, the Fuzzy logic is introduced in the pair-wise comparison of AHP to make up for this deficiency. The applicability of the proposed approach is demonstrated using a practical case study.

Zoning is a technique for minimizing damages of protected area, by which we can delay damage time and cater for opportunities to make necessary decisions. This research aimed at evaluating the effectiveness of the Fuzzy-AHP model for zoning national natural monuments in Dehloran in Ilam province. To do so, all factors including slope, aspect, topographic map, soil texture, vegetation type, sediment condition, erosion type, land use, geology map, and wildlife map which were taken into account. In this study, Fuzzy-AHP method and GIS have been used for ecological assessment. Analysis and evaluation of modeling has been done based on raster layers and with the amount of Gama by 0. 9 for the final layer Zonation map showing 5 zones including core zone with the area of 192. 3 hectares (13 %), buffer zone with the area of 829. 8 hectares (56%), expanded recreation zone with the area of 371. 8 hectares (25%), intensive recreation zone with the area of 3. 9 hectares (0. 3%) and multilateral uses zone with the area of 86 hectares (5. 7%). Buffer zone has the highest area of the region and plays as a protection belt around core zone and will reduce all kinds of damages.