Housing Preference for Modern Urban Designers Using Fuzzy-Ahp

Various demands and requirements of foreign home-buyers from different background are yet unclear to most of the residential developers. The aim of this study is to blueprint a fuzzy mapping of psychological phenomena reflected in consumer behavior, and to develop a Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) decision making model to assist residential developers in dealing with potential foreign customers. Through a questionnaire survey in the form of pair wise comparison matrix among 126 expatriates, this study introduces a new approach to assist residential developers dealing with expatriates' preference on house purchase in Malaysia in a simple and efficient way. With this fuzzy mapping, residential developers could utilize psychological phenomena to manipulate expatriates' preference on housing purchase rather than to merely comply passively.

Selection of an optimal method for the preparation of dual loaded flavono polymeric nanoparticle using analytical hierarchy process

In this study, analytical hierarchy process was used to select an optimal method for the preparation of dual loaded flavono polymeric nanoparticles. Analytical hierarchy process involves structuring multiple choice criteria into a hierarchy, assessing the relative importance of criteria, comparing alternatives for each criterion and determining an overall ranking of the alternatives. Hierarchy model was developed with the goal in the first level, 10 criteria in the second level and methods for the preparation of polymeric nanoparticles in the third level. To assess the relative importance of criteria, all criteria were compared with each other using Saaty’s scale. To compare the methods, all the methods for the preparation of polymeric nanoparticles were compared with each other for each criterion using Saaty’s scale, which leads to the formation of pair-wise comparison matrixes and consistency ratio was calculated for the each pair-wise comparison matrix. The study result showed that the consistency ratio of each pair-wise comparison matrix were well within acceptable limits. Of 10 criteria, reproducible results received the maximum overall priority weight followed by desirable size. Of 10 methods, nanoprecipitation method received the maximum overall priority weight followed by supercritical fluid technology. Analytical hierarchy process has identified reproducible results as criteria preference and nanoprecipitation as an optimal method for the preparation of dual loaded flavono polymeric nanoparticles. The study concludes that the analytical hierarchy process has played a vital role in selecting an optimal method for the preparation of dual loaded flavono polymeric nanoparticles.DOI: http://dx.doi.org/10.3329/icpj.v3i4.18264 International Current Pharmaceutical Journal, March 2014, 3(4): 247-253

Research on Fuzzy Fault Diagnosis of the Equipments

The paper introduces a method of fault diagnosis using fuzzy set theory. In the paper, the principle that a fault symptom either exists or doesnt exist is abandoned. A crisp number between 0 and 1 is used to denote the degree of fault symptom, by which the fault symptom vector is constructed. For every kind of fault symptom, a fuzzy pair-wise comparison matrix is constructed. The elements of the pair-wise comparison matrix are triangular fuzzy numbers which denote the qualitative comparisons between the membership values of the given fault symptom with the reference to a pair of possible faults respectively. The least logarithm squares method is applied to determine the membership of the fault symptom with respect to each fault, and then the fuzzy diagnosis matrix is constructed. A simple weighted addition is used to calculate the fault vector based on the fuzzy diagnosis matrix and the fault symptom vector. Center of area is used to determine the best non-fuzzy performance value of the fuzzy number, according to which the fuzzy numbers can be ranked. The ordering of all the possible faults based on the fault symptoms is determined. At the end of the paper, an example is used to demonstrate the procedure of fuzzy fault diagnosis.

Study on the Minimum Rock Covers of Xiamen Xiang’an Subsea Tunnel

The minimum rock cover is one of the most important factors determining the safety and cost of subsea tunnels .There are seven main influence factors and four methods determining the rock covers of subsea tunnels. Unfortunately, whether in Norwegian experience method (NEM), Numerical method (NM), Japanese experience method (JEM) or in mining under water experience method (MUWEM), these factors are considered separately in the study. The synergies reflecting the preferred primary or minor importance between the factors are not fully considered. The group AHP method (GAHPM) was put forward to solve the problem. GAHP is an optimization technology, where choosing suitable weights are the most importance. Adopting the advantage of AHP and avoiding the disadvantage at the same time, it can fully reflect the importance of each factor in determining the ultimately thickness of rock covers. In this paper, firstly, we construct the hierarchy and pair-wise comparison matrix. Secondly, determine weights of the experts. Thirdly, check the consistency of the judgment matrix. Ultimately, we obtain the ultimate minimum rock cover of the subsea tunnel by the product of initial selectable thicknesses and weights.