On General Framework of Type-1 Membership Function Construction: Case Study in QoS Planning
暂无分享,去创建一个
[1] Daniel P. Siewiorek,et al. Using Crowd Sourcing to Measure the Effects of System Response Delays on User Engagement , 2016, CHI.
[2] I. Turksen,et al. Measurement of Membership Functions: Theoretical and Empirical Work , 2000 .
[3] Elena Deza,et al. Encyclopedia of Distances , 2014 .
[4] Albertas Caplinskas,et al. A Model of View-Based Enterprise Business Service Quality Evaluation Framework , 2013, Informatica.
[5] Animesh Kumar Paul,et al. Fuzzy membership function generation using DMS-PSO for the diagnosis of heart disease , 2015, 2015 18th International Conference on Computer and Information Technology (ICCIT).
[6] Paulo José de Freitas Filho,et al. Automatic Methods for Generation of Type-1 and Interval Type-2 Fuzzy Membership Functions , 2015, J. Comput. Sci..
[7] Rita Almeida Ribeiro,et al. Normalization Techniques for Multi-Criteria Decision Making: Analytical Hierarchy Process Case Study , 2016, DoCEIS.
[8] Jurgita Antucheviciene,et al. A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations , 2018 .
[9] Pravin S. Metkewar,et al. A New Paradigm For Generation Of Fuzzy Membership Function , 2018, 2018 IEEE 8th International Advance Computing Conference (IACC).
[10] Wenyu Zhang,et al. A new fuzzy QoS-aware manufacture service composition method using extended flower pollination algorithm , 2019, J. Intell. Manuf..
[11] André Bigand,et al. Membership function construction for interval-valued fuzzy sets with application to Gaussian noise reduction , 2016, Fuzzy Sets Syst..
[12] Dessislava Petrova-Antonova,et al. Integrated QoS Assessment of Web Services , 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.
[13] D. Dubois,et al. Fuzzy Sets: History and Basic Notions , 2000 .
[14] Lotfi A. Zadeh,et al. The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .
[15] Hao Jiang,et al. Local Community Detection With the Dynamic Membership Function , 2018, IEEE Transactions on Fuzzy Systems.
[16] K. S. Ravichandran,et al. A Decision Framework under a Linguistic Hesitant Fuzzy Set for Solving Multi-Criteria Group Decision Making Problems , 2018, Sustainability.
[17] Fei Wang,et al. QoS-aware Service Composition Using Fuzzy Set Theory and Genetic Algorithm , 2018, Wirel. Pers. Commun..
[18] Edmundas Kazimieras Zavadskas,et al. Decision Making Methods Based on Fuzzy Aggregation Operators: Three Decades Review from 1986 to 2017 , 2018, Int. J. Inf. Technol. Decis. Mak..
[19] Edmundas Kazimieras Zavadskas,et al. Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets , 2016 .
[20] Yixiong Feng,et al. A fuzzy QoS-aware resource service selection considering design preference in cloud manufacturing system , 2016 .
[21] Dilip Kumar Yadav,et al. Construction of Membership Function for Software Metrics , 2015 .
[22] G. R. Karpagam,et al. Enhancing Fuzzy Topsis for web service selection , 2015, Int. J. Comput. Appl. Technol..
[23] Fatma Rhimi,et al. Balancing between Local and Global Optimization of Web Services Composition by a Fuzzy Transactional-aware Approach , 2016, ICSOFT-PT.
[24] Swarup Medasani,et al. An overview of membership function generation techniques for pattern recognition , 1998, Int. J. Approx. Reason..
[25] Navid Nikraz,et al. A Method for Constructing Non-Isosceles Triangular Fuzzy Numbers using Frequency Histogram and Statistical Parameters , 2017 .
[26] Andreas Meier,et al. IFC-Filter: Membership function generation for inductive fuzzy classification , 2015, Expert Syst. Appl..
[27] J. Richardson. The Concepts and Methods of Phenomenographic Research , 1999 .
[28] I. Turksen,et al. Elicitation of membership functions: how far can theory take us? , 1997, Proceedings of 6th International Fuzzy Systems Conference.
[29] Ajaya Kumar Tripathy,et al. Fuzzy QoS requirement-aware dynamic service discovery and adaptation , 2018, Appl. Soft Comput..
[30] Shilpa Litake,et al. Fuzzification of Context Parameters for Network Selection in Heterogeneous Wireless Environment , 2018, International Conference on Computer Networks and Communication Technologies.
[31] Huchang Liao,et al. Interval-valued 2-tuple hesitant fuzzy linguistic term set and its application in multiple attribute decision making , 2018, J. Intell. Fuzzy Syst..
[32] Jurgita Antucheviciene,et al. A Dynamic Fuzzy Approach Based on the EDAS Method for Multi-Criteria Subcontractor Evaluation , 2018, Inf..
[33] Allel HadjAli,et al. A fuzzy framework for efficient user-centric Web service selection , 2016, Appl. Soft Comput..
[34] Lei Wang,et al. Effective BigData-Space Service Selection over Trust and Heterogeneous QoS Preferences , 2018, IEEE Transactions on Services Computing.
[35] Chang Wang,et al. The applications of vague soft sets and generalized vague soft sets , 2015 .
[36] Huchang Liao,et al. Power average-based score function and extension rule of hesitant fuzzy set and the hesitant power average operators , 2018, J. Intell. Fuzzy Syst..
[37] Dongrui Wu,et al. Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons , 2013, IEEE Transactions on Fuzzy Systems.
[38] Takashi Hasuike,et al. Construction of an appropriate membership function based on size of fuzzy set and mathematical programming , 2016, IMECS 2016.
[39] Byung-In Choi,et al. Interval type-2 fuzzy membership function generation methods for pattern recognition , 2009, Inf. Sci..
[40] George J. Klir,et al. Fuzzy sets and fuzzy logic - theory and applications , 1995 .
[41] Jakob Nielsen,et al. Usability engineering , 1997, The Computer Science and Engineering Handbook.
[42] Abbas Mardani,et al. APPLICATION OF MCDM APPROACH TO EVALUATE THE CRITICAL SUCCESS FACTORS OF TOTAL QUALITY MANAGEMENT IN THE HOSPITALITY INDUSTRY , 2018, Journal of Business Economics and Management.
[43] Huchang Liao,et al. An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations , 2016, Inf. Sci..
[44] George A. Papakostas,et al. On Constructing Distance and Similarity Measures based on Fuzzy Implications , 2016 .
[45] B. M. Mohan,et al. Mathematical modelling of the simplest fuzzy two-input two-output proportional integral or proportional derivative controller via Larsen product inference , 2016, Int. J. Autom. Control..
[46] Chi-Chun Lo,et al. Satisfaction-based Web service discovery and selection scheme utilizing vague sets theory , 2013, Information Systems Frontiers.
[47] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[48] Rahul Hans,et al. QoS based Web Service Selection and Multi-Criteria Decision Making Methods , 2019, Int. J. Interact. Multim. Artif. Intell..
[49] Hans-Jürgen Zimmermann,et al. Fuzzy Set Theory - and Its Applications , 1985 .
[50] Martin Masek,et al. Automatic Generation of Fuzzy Membership Functions using Adaptive Mean-shift and Robust Statistics , 2016, ICAART.
[51] Benjamín R. C. Bedregal,et al. n-Dimensional Intervals and Fuzzy S-implications , 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[52] Chiranjeev Kumar,et al. Prioritizing the solution of cloud service selection using integrated MCDM methods under Fuzzy environment , 2017, The Journal of Supercomputing.
[53] Saeid Nahavandi,et al. Medical data classification using interval type-2 fuzzy logic system and wavelets , 2015, Appl. Soft Comput..
[54] Hani Hagras,et al. A type-2 fuzzy logic system for engineers estimation in the workforce allocation domain , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).