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Search Results: 1 - 10 of 1919 matches for " Similarity "
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Winter Oilseed Crops after Soybeans as Tools for Weed Management in Brazilian Savannah Cropping Systems  [PDF]
Germani Concenco, Cesar Jose da Silva, Michely Tomazi, Rodolpho Freire Marques, Sabrina Alves dos Santos, Maxwell Eliezer dos Santos Alves, Waggner Gomes Palharini, Air Lisboa Froes, Denise Nascimento Fabris
American Journal of Plant Sciences (AJPS) , 2014, DOI: 10.4236/ajps.2014.515242
Abstract:

We aimed with this study to evaluate the potential of oilseed crops planted following soybean, in terms of their ability to inhibit the occurrence of weed species under Brazilian Savannah cropping systems. The long-term experiment was installed in 2010 at Dourados, MS, Brazil, and in completely randomized blocks design with five replications with 12 × 24 m plot size. For three consecutive years (2010/11, 2011/12 and 2012/13), soybeans were planted in all the area by October/November being harvested in February/March, when previously marked plots were planted in April with: (1) radish (Raphanus sativus); (2) rapeseed (Brassica napus); (3) crambe (Crambe abyssinica); (4) winter fallow-no plantation after soybeans. In all years the same crop was repeated at the same plots, with no crop rotation. Phytosociological characterization of weed species was carried out in winter (after oilseeds harvest), pre-planting and post-emergence of soybean for the three years. Relative abundance, frequency and dominance, as well as the importance value for each species, was obtained. Areas were also intra-characterized by the coefficients of Simpson, Shannon-Weiner and Shannon-Weiner’s Evenness Proportion, and areas were compared for species dissimilarity with Jaccard’s presence-only coefficient, by multivariate cluster analysis. Oilseed crops definitely contribute for sustainable weed management as a cultural tool. The most important oilseed crop weeds in the Savannah-like region of Brazil were Amaranthus hybridus, Richardia brasiliensis, Lepidium virginicum, Leonotis nepetifolia and Hybanthus parviflorus

Approximate Reasoning in Fuzzy Resolution  [PDF]
Banibrata Mondal, Swapan Raha
International Journal of Intelligence Science (IJIS) , 2013, DOI: 10.4236/ijis.2013.32010
Abstract:

Resolution is an useful tool for mechanical theorem proving in modelling the refutation proof procedure, which is mostly used in constructing a proof of a theorem. An attempt is made to utilize approximate reasoning methodology in fuzzy resolution. Approximate reasoning is a methodology which can deduce a specific information from general knowledge and specific observation. It is dependent on the form of general knowledge and the corresponding deductive mechanism. In ordinary approximate reasoning, we derive from AB and by some mechanism. In inverse approximate reasoning, we conclude from AB and using an altogether different mechanism. An important observation is that similarity is inherent in fuzzy set theory. In approximate reasoning methodology-

A New Definition of Intuitionistic Fuzzy Similarity Degree  [PDF]
Qun Liu, Changhuan Feng
Open Journal of Statistics (OJS) , 2016, DOI: 10.4236/ojs.2016.61005
Abstract:

As far as the problem of intuitionistic fuzzy cluster analysis is concerned, this paper proposes a new formula of similarity degree with attribute weight of each index. We conduct a fuzzy cluster analysis based on the new intuitionistic fuzzy similarity matrix, which is constructed via this new weighted similarity degree method and can be transformed into a fuzzy similarity matrix. Moreover, an example is given to demonstrate the feasibility and validity of this method.

The Research of Chinese Words Semantic Similarity Calculation with Multi-Information  [PDF]
Rihong Wang, Chenglong Wang, Ying Xu, Xingmei Cui
International Journal of Intelligence Science (IJIS) , 2016, DOI: 10.4236/ijis.2016.63003
Abstract: Text similarity has a relatively wide range of applications in many fields, such as intelligent information retrieval, question answering system, text rechecking, machine translation, and so on. The text similarity computing based on the meaning has been used more widely in the similarity computing of the words and phrase. Using the knowledge structure of the?and its method of knowledge description, taking into account the other factor and weight that influenced similarity, making full use of depth and density of the Concept-Sememe tree, an improved method of Chinese word similarity calculation based on semantic distance was provided in this paper. Finally the effectiveness of this method was verified by the simulation results.
A Similarity Based Fuzzy System as a Function Approximator  [PDF]
Asim Pal, Injamam Ul Karim, Banibrata Mondal, Swapan Raha
International Journal of Intelligence Science (IJIS) , 2018, DOI: 10.4236/ijis.2018.84005
Abstract: In this paper, an attempt is made to prove that some similarity based fuzzy systems can be found to behave as function approximators. A typical similarity based fuzzy system is proposed and its behaviour is shown to have the said property. It elucidates the connection between similarity relation and similarity measure of fuzzy sets to fuzzy inference methodology. The concept of similarity relation is used in fuzzification of crisp input values. Similarity index is used in measuring approximate equality of fuzzy sets over a given universe of discourse of a linguistic variable. The similarity between the observation(s) and the antecedent of a rule is used in selecting rule(s) for possible firing and also in modifying the relation between the antecedent and consequent of the rule based on the specific observation. Inference is drawn through the usual composition and subsequently by projecting the modified fuzzy restriction acting on the variables of interest on the universe of the linguistic variable in the consequent of the rule. A specificity based defuzzification scheme is proposed for multiple-rule firing. It has been proved systematically that such a similarity based fuzzy system can uniformly approximate continuous functions to any desired degree of accuracy on a closed and bounded interval. Simulation results are presented for the well-known dc-motor problem. A comparative study is made to establish the validity and efficiency of the proposed similarity based fuzzy system.
A Method for Rapid Matching Based on Second Order Partial Derivative  [PDF]
Haiyan YU, Zhiquan ZHOU, Zhanfeng ZHAO, Xiaolin QIAO
Wireless Sensor Network (WSN) , 2010, DOI: 10.4236/wsn.2010.21005
Abstract: Our goal is to enhance matching speed which is important for image engineering. Second Partial Derivative operator in Harris corner detector is directly used to compute the similarity between corners. Then initial matches are obtained. The algorithm is contrasted with normalized cross-correlation and method based on horizontal and vertical gradient. Its computational complexity is reduced and matching speed is improved effectively because this method only adopts the addition and subtraction operations. Experiments on several real images test the matching speed, the matching precision and matching rate of the algorithm. The results demonstrate that the algorithm not only have higher speed but also get higher matching precision and correct matching rate. Even though the stereo image pairs have brightness differences, it still performs rather well.
Mechanism of Discerning Similarities in Psychiatric Diagnoses  [PDF]
Haim Eshach
Creative Education (CE) , 2013, DOI: 10.4236/ce.2013.46A001
Abstract:

Psychiatrists use similarities to make diagnoses in situations where rules are insufficient. The purpose of this study was to examine the criteria psychiatrists use to determine similarity between cases of personality disorder. Psychiatrists were provided with cases and were interviewed according to Kelly’s method. Cognitive science theories were used to explain the criteria identified. Results indicated that similarity decisions include idiosyncratic criteria. These results add to the current understanding of medical problem-solving processes and have implications for medical education.

Ferns and Lycophytes in Two Areas of Ecotone between Seasonal Semideciduous Forest and Mixed Ombrophilous Forest in Campo Mour?o, Paraná, Brazil  [PDF]
Marcelo Galeazzi Caxambú, Henrique Cesar Lopes Geraldino, Ana Claudia Milani Solvalagem
Open Journal of Forestry (OJF) , 2015, DOI: 10.4236/ojf.2015.52018
Abstract: The aim of the present study was to present the wealth, ecological characteristics and the floristic similarity of ferns and lycophytes from two forest areas of the municipality of Campo Mour?o, PR, Brazil. The vegetation of the municipality is characterized mainly by an ecotone between the Seasonal Semideciduous Forest and Mixed Ombrophilous Forest. We recorded 56 species, distributed in 31 genera and 16 families. The most representative families were Pteridaceae (14) and Polypodiaceae (11) and the wealthier genre was Thelypteris (6). The terricolous species were predominant (72%) and the preferential environments were riparian vegetation and forest interior (70%). The flora of Campo Mour?o was more similar to the studies conducted in the state of Rio Grande do Sul, and the cophenetic correlation coefficient (r = 0.9058) showed a consistent adjust. In the principal components analysis (PCA) the variance explained by the two principal components was 72.99%. The wealth found in this study corresponds to approximately 11.4% of the flora of ferns and lycophytes of Paraná. Future contributions are needed to increase the knowledge about the flora of ferns and lycophytes in areas of ecotone, mainly in the region of Campo Mour?o, where the studies are scarce.
A New Matchmaking Algorithm Based on Multi-Level Matching Mechanism Combined with Fuzzy Set  [PDF]
Adnan I. Al Rabea, Muawiah M. A. Al Fraihat
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.53018
Abstract: The lack of semantic parts, increasing the number of Web services in the Web, and syntactic-based search operation are the main problems of current Web service technologies, these factors make difficult for clients to find a required web service. This paper shows a matchmaking algorithm to discover Semantic Web Services that are satisfying client requirements. It depends on two factors that distinguish it from any conventional Web service discovery algorithm; the first one is using semantic matching technique to overcome shortcoming of keyword matching techniques, the second one is tying Quality of Service (QoS) metrics of Web Service (WS) with fuzzy words that are used in user’s request. At least fifty percent average gain in search relevancy is obtained when our matchmaking algorithm is applied to WSs that are actually matching the chosen fuzzy semantic theme.
Proposing a New Metric for Collaborative Filtering  [PDF]
Arash Bahrehmand, Reza Rafeh
Journal of Software Engineering and Applications (JSEA) , 2011, DOI: 10.4236/jsea.2011.47047
Abstract: The aim of a recommender system is filtering the enormous quantity of information to obtain useful information based on the user’s interest. Collaborative filtering is a technique which improves the efficiency of recommendation systems by considering the similarity between users. The similarity is based on the given rating to data by similar users. However, user’s interest may change over time. In this paper we propose an adaptive metric which considers the time in measuring the similarity of users. The experimental results show that our approach is more accurate than the traditional collaborative filtering algorithm.
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