نتایج جستجو برای: روشهای تصمیمگیری چندشاخصه madm
تعداد نتایج: 23805 فیلتر نتایج به سال:
Abstract: In recent years, neutrosophic sets (NSs) have attracted widespread attentions and been widely applied to multiple attribute decision-making (MADM). The interval neutrosophic set (INS) is an extension of NS, in which the truth-membership, indeterminacy-membership and falsity-membership degree are expressed by interval values, respectively. Obviously, INS can conveniently describe compl...
Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference (LINMAP), the observed values in the real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized by linguistic terms which are fuzzy in nature. LINMAP has been widely used to solve multi-attribute decis...
Proton exchange membrane fuel cells (PEMFCs) can be used in transportation, power plants and distributed generation due to high power density and fast speed of operation. Dynamic modeling of fuel cells is a primary need for performance assessment studies of real-time and controller design. Some new models of Simulink use artificial intelligence for making graph output model. Neural network is o...
In order to provide ubiquitous access for the users, future generation network integrate a multitude of radio access technologies (RAT’S) which can interoperate between them. However, the most challenging problem is the selection of an optimal radio access network, in terms of quality of service anywhere at anytime. This paper proposes a novel ranking algorithm, which combines multi attribute d...
The main focus of this paper is to investigate the multiple attribute decision making (MADM) method under intuitionistic linguistic (IL) environment, based on induced aggregation operators and analyze possibilities for its application in low carbon supplier selection. More specifically, a new aggregation operator, called intuitionistic linguistic weighted induced ordered weighted averaging (ILW...
A mechanism is designed here to realize Network_Load_Balancing (NLB) by directing handover based on Media Independent Handover for vehicular based systems. We designed a Predictive_Link_Going_Down event based on Media Independent Event Service which accurately estimates the performance degradation to predict vehicle movements and a Predictive_Handover_Information_Structure (PHIS) based on Media...
A framework for Multi Agent Data Mining (MADM) is described. The framework comprises a collection of agents cooperating to address given data mining tasks. The fundamental concept underpinning the framework is that it should support generic data mining. The vision is that of a system that grows in an organic manner. The central issue to facilitating this growth is the communication medium requi...
عارضه یابی عبارت است از روش سیستماتیک و علمی برای شناسایی، طبقه بندی و ریشه یابی عارضه ها و اثرات سوء آن ها در کارکرد سازمان از طریق تعامل نگاه از بیرون با نگاه از درون و تهیه و تدوین برنامه های کاری برای رفع آن ها در سازمان. امروزه سازمان هایی که در بازارهای رقابتی فعالیت می کنند برای بقاء و رشد پایدار، ناگزیرند در راستای بهبود مستمر گام بردارند. از این رو سازمان ها باید همواره به مطالعه بازار...
Seamless continuity is the main goal in fourth generation Wireless networks (FGWNs), to achieve this “ HANDOVER” technique is used, when a mobile terminal(MT) is in overlapping area for service continuity, Handover mechanism are mainly used. In Heterogeneous wireless networks main challenge is continual connection among the different networks like WiFi, WiMax, WLAN, WPAN etc. In this paper, Ver...
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different clustering algorithms, to determine a “best” cluster configuration. The issue of determining the most appropriate configuration is a challenging one, and is addressed in this paper by considering two metrics, total Wi...
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