Results 31 to 40 of about 16,400 (142)
Optimised fertiliser suggestion in smart agriculture system based on fuzzy inference rule
Acta Agriculturae Scandinavica. Section B, Soil and Plant Science, 2021 Rice crop is one of the major cultivating crops in India, especially in south India. Fertiliser plays an important role to achieve the highest rice yield. Each crop needs an adequate amount of fertiliser for its growth.
S. Nithiya, K. Annapurani
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Сучасні інформаційні системи, 2020 The paper illustrates the solution of the problem of choosing methods of quality control of manufacturing parts and assemblies of power equipment using a fuzzy logic device.
Ihor Hryhorenko +2 more
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A study of fuzzy and many-valued logics in cellular automata
, 2007 In this paper we provide an analytical study of the theory of multi-valued and fuzzy cellular automata where the fuzziness appears as the result of the application of an underlying multi-valued or continuous logic as opposed to standard logic as used ...
Mingarelli, Angelo B.
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Construction of aggregation operators with noble reinforcement [PDF]
, 2007 This paper examines disjunctive aggregation operators used in various recommender systems. A specific requirement in these systems is the property of noble reinforcement: allowing a collection of high-valued arguments to reinforce each other while ...
Beliakov, Gleb, Calvo, Tomasa
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A Universal and Actionable Measure of Corporate Sustainability for Strategic Decision Making
Business Strategy and the Environment, EarlyView.ABSTRACT Managers require a universal, comparable, and decision‐useful measure of corporate sustainability that can reliably inform business strategy, yet such a tool remains absent in the literature and current practice. This paper introduces a comprehensive and operational metric—grounded in Goertz's Basic Framework for developing social science ...
Mariapia Pazienza +2 more
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Advanced inference in fuzzy systems by rule base compression [PDF]
, 2007 This paper describes a method for rule base compression of fuzzy systems. The method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base.
Gegov, Alexander, Gobalakrishnan, N.
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The World of Combinatorial Fuzzy Problems and the Efficiency of Fuzzy Approximation Algorithms
, 2015 We re-examine a practical aspect of combinatorial fuzzy problems of various types, including search, counting, optimization, and decision problems. We are focused only on those fuzzy problems that take series of fuzzy input objects and produce fuzzy ...
Yamakami, Tomoyuki
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Energy Science &Engineering, EarlyView.Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi +8 more
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IEEE AccessExercise and Physical Activity are important factors to improve the student's health and academic status. Student exercise should be continuously monitored to eliminate risk factors and health issues.
Shiping Yu, Xiaowei Peng
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ON THE GASTALDI – D’URSO FUZZY LINEAR REGRESSION [PDF]
Challenges of the Knowledge Society, 2011 In the crisp regression models, the differences between observed values and calculates ones are suspected to be caused by random distributed errors, although these are due to observation errors and an unappropriate model structure.
DANA-FLORENTA SIMION +2 more
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