|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Assessment and sequencing of air target threat based on intuitionistic fuzzy entropy and dynamic VIKOR显示文摘In view of the fact that traditional air target threat assessment methods are difficult to reflect the combat characteristics of uncertain, dynamic and hybrid formation, an algorithm is proposed to solve the multi-target threat assessment problems. The target attribute weight is calculated by the intuitionistic fuzzy entropy(IFE) algorithm and the time series weight is gained by the Poisson distribution method based on multi-times data. Finally,assessment and sequencing of the air multi-target threat model based on IFE and dynamic Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) is established with an example which indicates that the method is reasonable and effective. | ZHANG Kun KONG Weiren LIU Peipei SHI Jiao LEI Yu ZOU Jie | 2018 | Journal of Systems Engineering and Electronics2018，29，2： | 24 |
| 2 | Dynamic assessment method of air target threat based on improved GIFSS显示文摘As the air combat environment becomes more complicated and changeable, accurate threat assessment of air target has a significant impact on air defense operations. This paper proposes an improved generalized intuitionistic fuzzy soft set (GIFSS) method for dynamic assessment of air target threat. Firstly, the threat assessment index is reasonably determined by analyzing the typical characteristics of air targets. Secondly, after the GIFSS at different time is obtained, the index weight is determined by the intuitionistic fuzzy set entropy and the relative entropy theory. Then, the inverse Poisson distribution method is used to determine the weight of time series, and then the time-weighted GIFSS is obtained. Finally, threat assessment of five air targets is carried out by using the improved GIFSS (I-GIFSS) and comparison methods. The validity and superiority of the proposed method are verified by calculation and comparison. | FENG Jinfu ZHANG Qiang HU Junhua LIU An | 2019 | Journal of Systems Engineering and Electronics2019，30，3： | 9 |
| 3 | Double weight determination method for experts of complex multi-attribute large-group decision-making in interval-valued intuitionistic fuzzy environment显示文摘The systematic clustering analysis based weight determination methods are suitable for the experts of complex multiattribute large-group decision-making(CMALGDM) in intervalvalued intuitionistic fuzzy environment. However, these methods mainly have two shortcomings: they do not consider the consistency of the experts in each aggregation; the aggregation weights are often determined simply by the 'majority principle', and neglect the quantity of information provided by the holistic aggregation,leading to decision biases. Hence, a double weight determination method for experts is proposed to solve these problems. As for the first shortcoming, a mathematical programming model is used to solve for the optimal expert weights within each aggregation,ensuring consistency in the overall preferences of the aggregations. As for the second shortcoming, we propose a modification of the aggregation weights based on the information entropy, which fully considers both the number of experts and the amount of information provided by the holistic aggregation. With the proposed method, the final expert weights are determined more rigorously and objectively. The feasibility of the proposed method is investigated through an illustrative example. | Bingsheng Liu Sijia Guo Kaijing Yan Ling Li Xueqing Wang | 2017 | Journal of Systems Engineering and Electronics2017，28，1： | 4 |
| 4 | Temporal evidence combination method for multi-sensor target recognition based on DS theory and IFS显示文摘In order to effectively deal with the conflict temporal evidences without affecting the sequential and dynamic characteristics in the multi-sensor target recognition(MSTR) system at the decision making level, this paper proposes a Dempster-Shafer(DS) theory and intuitionistic fuzzy set(IFS) based temporal evidence combination method(DSIFS-TECM). To realize the method,the relationship between DS theory and IFS is firstly analyzed. And then the intuitionistic fuzzy possibility degree of intuitionistic fuzzy value(IFPD-IFV) is defined, and a novel ranking method with isotonicity for IFV is proposed. Finally, a calculation method for relative reliability factor(RRF) is designed based on the proposed ranking method. As a proof of the method, numerical analysis and experimental simulation are performed. The results indicate DSIFS-TECM is capable of dealing with the conflict temporal evidences and sensitive to the changing of time. Furthermore, compared with the existing methods, DSIFS-TECM has stronger ability of anti-interference. | Ju Wang Fuxian Liu | 2017 | Journal of Systems Engineering and Electronics2017，28，6： | 4 |
| 5 | Multi-Criteria Decision Making Based on Correlation Coefficient of Triangular Intuitionistic Fuzzy Numbers显示文摘We study a multi-criteria fuzzy decision-making method based on weighted triangular intuitionistic fuzzy number correlation coefficients. Under the scenario that criteria weights for alternatives are completely unknown, triangular intuitionistic fuzzy method can not only supplement the insufficiency of the method based on the distance but also endow more information to the estimation and reduce the loss of evaluation information.Among the triangular numbers, two boundary numbers are the maximum and minimum values of the interval respectively, and the medium number is the most possible value under subjective estimation. Using this method,we propose a new way to obtain the criteria weights with more information quantity. By ranking the relative closeness of the weighted correlation coefficients between each alternative, and the critical and ideal alternatives,we show the method to figure out the most suitable alternative based on the expected criteria. An illustrative example is also taken into account to prove the effectiveness of the model. | 吴迪 闫相斌 彭锐 马晓洋 | 2019 | Journal of Shanghai Jiaotong university(Science)2019，24，4： | 3 |
| 6 | A novel similarity measure between intuitionistic fuzzy sets based on the mid points of transformed triangular fuzzy numbers with applications to pattern recognition and medical diagnosis显示文摘Similarity measure is an essential tool to compare and determine the degree of similarity between intuitionistic fuzzy sets (IFSs). In this paper, a new similarity measure between intuitionistic fuzzy sets based on the mid points of transformed triangular fuzzy numbers is proposed. The proposed similarity measure provides reasonable results not only for the sets available in the literature but also gives very reasonable results, especially for fuzzy sets as well as for most intuitionistic fuzzy sets. To provide supportive evidence, the proposed similarity measure is tested on certain sets available in literature and is also applied to pattern recognition and medical diagnosis problems. It is observed that the proposed similarity measure provides a very intuitive quantification. | J Dhivya B Sridevi | 2019 | Applied Mathematics(A Journal of Chinese Universities)2019，34，2： | 2 |
| 7 | Modeling and applying credible interval intuitionistic fuzzy reciprocal preference relations in group decision making显示文摘Intuitionistic fuzzy preference relations are powerful techniques used to express uncertain preference information.However, simultaneously providing the exact priority and nonpriority intensities could be difficult in real applications. A credible interval intuitionistic fuzzy number(CIIFN) is introduced and a credible interval intuitionistic fuzzy reciprocal preference relation(CIIFRPR) is developed to solve this issue. Unlike intuitionistic fuzzy preference relations, the new preference relations use the CIIFNs to express the preference information such that the decision makers simply provide the priority intensity with intervalvalued numbers and calculate the non-preference intensity with the transformed method, which avoids a complex evaluation of non-priority information. Furthermore, some basic operations and comparison laws are investigated, based on which three credible interval intuitionistic fuzzy aggregation operators are proposed.Two models are presented to manage the group decision-making.Finally, a practical case is used to demonstrate the feasibility and reasonability of the proposed preference relations and aggregation operators. | Wei Zhou Zeshui Xu | 2017 | Journal of Systems Engineering and Electronics2017，28，2： | 2 |
| 8 | On Optimal Priority Modelling of Group Intuitionistic Fuzzy Preference Relations with Normal Uncertainty Distribution显示文摘The uncertainty distribution can more effectively express the uncertainty of decision makers' judgments during a pairwise comparison of any alternatives. This paper investigates the priority models of group intuitionistic fuzzy preference relations with normal uncertainty distribution. The mathematical equivalence between the membership, non-membership degree interval fuzzy preference relation and the intuitionistic fuzzy preference relation is constructed, showing that there exists an inverse relationship between the priority of alternatives using these two types of interval preference relations. The new optimal models regarded the event that the deviation between the ideal judgement meeting the multiplicative consistency and the actual judgement obeying normal uncertainty distribution shall not exceed a threshold value under the given belief degree as a constraint, and regarded the minimum sum of all the threshold values as the objective function. The chance constraint was introduced to measure the degree to which multiplicative consistency can be realized under different belief degrees. The priority model provides a new method for simulating uncertainty and fuzziness in the real-world decision making environment. | Lihong Wang Zaiwu Gong | 2019 | Journal of Systems Science and Systems Engineering2019，28，4： | 1 |
| 9 | A strong completeness theorem in intuitionistic quantified modal logic显示文摘Based on the intuitionistic first order predicate calculus H given by Thomason with the modal machinery of MIPC put forward by Prior this paper obtains the intuitionistic quantified modal logic system MIPC* , gives it a semantic interpretation and proves its strong (thus also weak) completeness theorem and soundness theorem with respect to that semantic. Since Zom lemma plays a decisive role in our discussion, methodologically, it was even farther from the intuitionistic point of view than Thomason’s result. | 高恒珊 | 2000 | Science China(Technological Sciences)2000，43，1： | 1 |
| 10 | Cartesian product over interval valued intuitionistic fuzzy sets显示文摘The intuitionistic fuzzy set(IFS) based on fuzzy theory,which is of high efficiency to solve the fuzzy problem, has been introduced by Atanassov. Subsequently, he pushed the research one step further from the IFS to the interval valued intuitionistic fuzzy set(IVIFS). On the basis of fuzzy set(FS), the IFS is a generalization concept. And the IFS is generalized to the IVIFS.In this paper, the definition of the sixth Cartesian product over IVIFSs is first introduced and its some properties are explored.We prove some equalities based on the operation and the relation over IVIFSs. Finally, we present one geometric interpretation and a numerical example of the sixth Cartesian product over IVIFSs. | Jianming Xie Sanyang Liu | 2017 | Journal of Systems Engineering and Electronics2017，28，6： | 1 |
| 11 | Intuitionistic fuzzy optimization显示文摘Presents a new approach based on the theory of the intuitionistic fuzzy sets to handle optimization problems under uncertainty, which, with both acceptance degree and rejection degree of objective functions and constraint conditions defined, further considers the intuitionistic fuzziness of objective functions and constraint conditions in a fuzzy optimization problem, and then constract the mathematical model of IFO as an extension to the traditional fuzzy optimization. | 张鹏 吕大刚 王光远 | 2000 | Journal of Harbin Institute of Technology(New Series)2000，7，2： | 0 |
| 12 | Multi-objective linear fractional inventory model with possibility and necessity constraints under generalised intuitionistic fuzzy set environment显示文摘This study presented a multi-objective linear fractional inventory (LFI) problem with generalised intuitionistic fuzzy numbers. In modelling, the authors have assumed the ambiances where generalised trapezoidal intuitionistic fuzzy numbers (GTIFNs) used to handle the uncertain information in the data. Then, the given multi-objective generalised intuitionistic fuzzy LFI model was transformed into its equivalent deterministic linear fractional programming problem by employing the possibility and necessity measures. Finally, the applicability of the model is demonstrated with a numerical example and the sensitivity analysis under several parameters is investigated to explore the study. | Totan Garai Harish Garg | 2019 | CAAI Transactions on Intelligence Technology2019，4，3： | 0 |
| 13 | 10-Elements Linguistic Truth-Valued Intuitionistic Fuzzy First-Order Logic System显示文摘This paper presents 10-elements linguistic truth-valued intuitionistic fuzzy algebra and the properties based on the linguistic truth-valued implication algebra which is fit to express both comparable and incomparable information.This method can also deal with the uncertain problem which has both positive evidence and negative evidence at the same time.10-elements linguistic truthvalued intuitionistic fuzzy first-order logic system has been established in the intuitionistic fuzzy algebra. | Yingxin Wang Xin Wen Li Zou | 2015 | 国际计算机前沿大会会议论文集2015，，1： | 0 |
| 14 | 基于Vague集的模糊多目标决策新方法显示文摘提出了一种基于Vague集的模糊多目标决策新方法.首先通过确定单目标满意值的上、下界,定义单目标的Vague集真、假隶属函数,计算得到每个方案的单目标Vague值,然后通过加权计算单目标Vague值得到每个方案的多目标综合Vague值,最后利用记分函数对方案进行排序,从而选出最优方案.实例分析表明了该方法的可行性和有效性. | 汪新凡 | 2007 | 中国管理科学2007，15，z1： | 0 |
| 15 | Adaptive partition intuitionistic fuzzy time series forecasting model显示文摘To enhance the accuracy of intuitionistic fuzzy time series forecasting model, this paper analyses the influence of universe of discourse partition and compares with relevant literature. Traditional models usually partition the global universe of discourse, which is not appropriate for all objectives. For example,the universe of the secular trend model is continuously variational.In addition, most forecasting methods rely on prior information, i.e.,fuzzy relationship groups(FRG). Numerous relationship groups lead to the explosive growth of relationship library in a linear model and increase the computational complexity. To overcome problems above and ascertain an appropriate order, an intuitionistic fuzzy time series forecasting model based on order decision and adaptive partition algorithm is proposed. By forecasting the vector operator matrix, the proposed model can adjust partitions and intervals adaptively. The proposed model is tested on student enrollments of Alabama dataset, typical seasonal dataset Taiwan Stock Exchange Capitalization Weighted Stock Index(TAIEX) and a secular trend dataset of total retail sales for social consumer goods in China. Experimental results illustrate the validity and applicability of the proposed method for different patterns of dataset. | Xiaoshi Fan Yingjie Lei Yanan Wang | 2017 | Journal of Systems Engineering and Electronics2017，28，3： | 0 |
| 16 | An Improved Group Decision-Making Model for the Investment Options of Small-Scale Photovoltaic Systems Based on Cumulative Prospect Theory and Choquet Integral显示文摘With the development of photovoltaic(PV) industry, installing small-scale PV systems which are integrated into the buildings becomes popular. Therefore, it is important to make optimal investment decisions for investors and consumers. This paper proposes an improved group decision-making method which integrates the cumulative prospect theory and Choquet integral for the investment options of small-scale PV systems. From the perspective of sustainability, the alternatives are evaluated by four criteria, including economic benefits, solar energy condition, carbon emissions and social benefits. Since the performances of criteria are given by decision makers as linguistic variables, the proposed method measures the criteria values by intuitionistic trapezoidal fuzzy numbers. Then the alternatives are evaluated and ranked to determine the optimal option. Finally, the proposed method is implemented in a case study to illustrate its feasibility and effectiveness. | LIU Jicheng FU Xiaoxu XU Fangqiu WANG Zhenzhen LUO Cuicui | 2019 | Wuhan University Journal of Natural Sciences2019，24，6： | 0 |
| 17 | Derivatives and differentials for multiplicative intuitionistic fuzzy information显示文摘By using the unsymmetrical scale instead of the symmetrical scale,the multiplicative intuitionistic fuzzy sets(MIFSs) reflect our intuition more objectively.Each element in a MIFS is expressed by an ordered pair which is called a multiplicative intuitionistic fuzzy number(MIFN)and is based on the unbalanced scale(i.e.,Saaty's 1-9 scale).In order to describe the derivatives and differentials for multiplicative intuitionistic fuzzy information more comprehensively,in this paper,we firstly propose two new basic operational laws for MIFNs,which are the subtraction law and the division law.Secondly,we describe the change values of MIFNs when considering them as variables,classify these change values based on the basic operational laws for MIFNs,and depict the convergences of sequences of MIFNs by the subtraction and division laws.Finally,we focus on the multiplicative intuitionistic fuzzy functions and derive some basic results related to their continuities,derivatives and differentials,and also give their application in selecting the configuration of a computer. | YU Shan XU Ze-shui LIU Shou-sheng | 2017 | Applied Mathematics(A Journal of Chinese Universities)2017，32，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员