Fuzzy Optimization(퍼지 최적화)란 무엇입니까?
Fuzzy Optimization 퍼지 최적화 - After presenting the basic ideas in fuzzy optimization, underlying the advantages and disadvantages of different solution approaches, we review the main methodologies yielding solutions that elude the extension principle, and then compare them to those that follow it. [1] However, most of these approaches are not simulated and compared between ordinary least square and fuzzy optimization in parameter estimation. [2] This case study covers the application of the fuzzy optimization in simultaneously satisfying various constraints that include the compliance of ammonia and nitrate concentrations with stringent environmental standards. [3] This note presents a fuzzy optimization of Gabor filter-based object and text detection. [4] Mathematically rigorous global optimization and fuzzy optimization have different philosophical underpinnings, goals, and applications. [5] This study shows that the theory of fuzzy optimization can be used to select the ground motion records for structural dynamic analysis. [6] The Bluetooth positioning identification of university smart library books and the optimized retrieval of library information are realized through fuzzy optimization and semantic feature analysis methods. [7] As there are also important applications making use of fuzzy optimization, it is obvious that the studies of convexity are also frequent. [8] Therefore, this paper proposes a new method for reservoir operation plan optimization based on fuzzy optimization and convolutional neural network. [9] In this paper, agent-based improved neuro-fuzzy optimization is proposed to avoid transmission of redundant information into cloud along with load balancing among all nodes for equal energy consumption. [10] We hope that these interesting outcomes may open a new direction for fuzzy optimization, modeling and interval-valued function. [11] Although some studies in the literature focus on fuzzy optimization in general, to the best of our knowledge, performance improvement of rule-based fuzzy clustering algorithms is not taken into account. [12] Type-2 fuzzy sets (T2FSs) exhibit evident merits when it comes to representing the complex and high uncertainty, which has been encountered in fuzzy optimization and multiple criteria decision making (MCDM) problems. [13] 3 mg GAE/g dry weight) was therefore performed based on fuzzy optimization which corresponded to ethanol concentration of 72%, extraction time of 50 min and temperature of 70 °C. [14] The fuzzy linear programming problem is one of the interesting concepts to be addressed in fuzzy optimization. [15] In addition, the method of determining irradiation dose by using the method of fuzzy optimization is also introduced. [16] Fuzzy optimization is one of the best tools in decision making. [17] In this direction, the gH-derivative for fuzzy functions is a concept that is more general than Hukuhara and level-wise derivatives that are usually used in fuzzy optimization so far, in the sense that they can be applied to a wider number of fuzzy function classes than above concepts. [18] Fuzzy Optimization and Decision Making (FODM) is one of the influential journals in the research field of computer science and operation research, which was found in 2002. [19] In this paper, backtracking search algorithm based fuzzy optimization is introduced to evaluate the state of charge of the battery by optimizing the input and output fuzzy membership functions of rate of change of the state of charge and power balance. [20] Both vehicle model and CS-fuzzy optimization are considered to achieve intelligent tracking control of Mecanum mobile vehicles. [21] This problem lies at the confluence of two areas of research: Distribute d optimization and fuzzy optimization. [22] Fuzzy optimization is used for a multi-criteria decision analysis to determine the best desirable swelling capacity (YQ) of the material synthesis at its lowest possible variable cost. [23] Although previous studies have been devoted to fuzzy optimization in general, to the best of our knowledge, improving the efficiency of rule-based fuzzy routing algorithms has not yet been considered. [24]퍼지 최적화의 기본 아이디어를 제시하고 다양한 솔루션 접근 방식의 장단점을 살펴본 후 확장 원칙을 벗어나는 솔루션을 산출하는 주요 방법론을 검토하고 이를 따르는 방법론과 비교합니다. [1] 그러나 이러한 접근 방식의 대부분은 모수 추정에서 일반 최소 자승과 퍼지 최적화 사이에서 시뮬레이션 및 비교되지 않습니다. [2] 이 사례 연구는 엄격한 환경 표준과 암모니아 및 질산염 농도의 준수를 포함하는 다양한 제약 조건을 동시에 충족하는 퍼지 최적화의 적용을 다룹니다. [3] 이 노트는 Gabor 필터 기반 개체 및 텍스트 감지의 퍼지 최적화를 나타냅니다. [4] 수학적으로 엄격한 전역 최적화와 퍼지 최적화는 철학적 토대, 목표 및 응용 프로그램이 다릅니다. [5] 이 연구는 퍼지 최적화 이론이 구조적 동적 해석을 위한 지반 운동 기록을 선택하는 데 사용될 수 있음을 보여줍니다. [6] 대학 스마트 도서관 도서의 블루투스 위치 식별 및 도서관 정보의 최적화 검색은 퍼지 최적화 및 의미 특징 분석 방법을 통해 구현됩니다.