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  1. Possibility, necessity, and credibility measures play a significant role to measure the chances of occurrence of fuzzy events. In this paper, possibility, necessity, and credibility measures of exponential fuz...

    Authors: Totan Garai, Dipankar Chakraborty and Tapan Kumar Roy
    Citation: Journal of Uncertainty Analysis and Applications 2017 5:8
  2. In order to solve the optimization problem of selecting the decision with maximal chance to meet the Sugeno event in Sugeno environment, dependent-chance programming on Sugeno measure space is proposed, which ...

    Authors: Hong Zhang and Jianwei Song
    Citation: Journal of Uncertainty Analysis and Applications 2017 5:7
  3. In this paper, a synchronization problem of a three-dimensional (3-D) Coullete chaotic system using the active- and adaptive-based synchronization control techniques is addressed. Based on the Routh-Hurwitz cr...

    Authors: Israr Ahmad, Azizan Bin Saaban and Adyda Binti Ibrahim
    Citation: Journal of Uncertainty Analysis and Applications 2017 5:6
  4. This paper explores a supply chain pricing competition problem in a two-echelon supply chain with one manufacturer and two competing retailers. The manufacturing costs, sales costs, and market bases are all ch...

    Authors: Hua Ke, Yong Wu, Hu Huang and Zhiyi Chen
    Citation: Journal of Uncertainty Analysis and Applications 2017 5:5
  5. In this paper, uncertain dynamic network flow problems (UDNFPs) are formulated, and an algorithm is proposed to solve them by noting that arc capacities are uncertain (may vary with time or not), and flow vari...

    Authors: Hossein Alipour and Kamal Mirnia
    Citation: Journal of Uncertainty Analysis and Applications 2017 5:4
  6. In this paper, based on the concepts of credibility measure and expectation theory, we derive the expectation formulae for the three reductions of a type-2 trapezoidal fuzzy variable (T2TrFV), which are attain...

    Authors: Anushree Dutta and Dipak Kumar Jana
    Citation: Journal of Uncertainty Analysis and Applications 2017 5:3
  7. Complex, dynamic, computational models are routinely used to evaluate and optimize the design and performance of solar thermal systems. As models become more complex, performing uncertainty analysis on such mo...

    Authors: Heejin Cho, Aaron Smith, Rogelio Luck and Pedro J. Mago
    Citation: Journal of Uncertainty Analysis and Applications 2017 5:1
  8. This paper presents a new concept of uncertain matrix that is a measurable function from an uncertainty space to the set of real matrices. It is proved that an uncertain matrix is a matrix all of whose element...

    Authors: Baoding Liu
    Citation: Journal of Uncertainty Analysis and Applications 2016 4:11
  9. In this paper, we have developed an integrated supplier-manufacturer-retailer, joint economic lot-sizing model for the items with stochastic demand and imperfect quality. The supplier produces the item (raw ma...

    Authors: Shilpi Pal, G. S. Mahapatra and G. P. Samanta
    Citation: Journal of Uncertainty Analysis and Applications 2016 4:10
  10. The idea that a machine can numerically estimate the interest of an individual towards any entity (e.g., WhatsApp, Facebook) is fascinating. Interest, however, is a complex human property that cannot be quanti...

    Authors: Tanveer Ahmed and Abhishek Srivastava
    Citation: Journal of Uncertainty Analysis and Applications 2016 4:9
  11. Importance measure is an index for estimating the importance of an individual component or a group of components in a reliability system. So far, the importance measures for components in stochastic reliabilit...

    Authors: Rong Gao and Kai Yao
    Citation: Journal of Uncertainty Analysis and Applications 2016 4:7
  12. This paper considers the application of method of percentile matching available in statistical theory of estimation for estimating the parameters involved in uncertainty distributions. An empirical study has b...

    Authors: S Sampath and K. Anjana
    Citation: Journal of Uncertainty Analysis and Applications 2016 4:6
  13. Uncertain set is a set-valued function on an uncertainty space, and attempts to model unsharp concepts. Membership function is used to describe the membership degree that a value belongs to the uncertain set. ...

    Authors: Haiying Guo, Xiaosheng Wang, Lili Wang and Dan Chen
    Citation: Journal of Uncertainty Analysis and Applications 2016 4:3
  14. In this paper, a new method is proposed for testing fuzzy hypotheses based on the following two generalized p-values: (1) the generalized p-value of null fuzzy hypothesis against alternative fuzzy hypothesis and ...

    Authors: Abbas Parchami, S. Mahmoud Taheri, Bahram Sadeghpour Gildeh and Mashaallah Mashinchi
    Citation: Journal of Uncertainty Analysis and Applications 2016 4:2
  15. Uncertain differential equations have been widely applied to many fields especially to uncertain finance. Unfortunately, we cannot always get the analytic solution of uncertain differential equations. Early re...

    Authors: Xiangfeng Yang and Yuanyuan Shen
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:17
  16. Quality function deployment (QFD) is a new product development tool remarked with interpreting customer requirements into engineering characteristics of the design process. On account of the inherent imprecise...

    Authors: Yunwen Miao, Yuanyuan Liu and Yizeng Chen
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:16
  17. Linear uncertainty analysis based on a first order Taylor series expansion, described in ASME PTC (Performance Test Code) 19.1 “Test Uncertainty” and the ISO Guide for the “Expression of Uncertainty in Measure...

    Authors: Heejin Cho, Rogelio Luck and James W. Stevens
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:15
  18. Uncertain set is a set-valued function on an uncertainty space, and membership function is used to describe an uncertain set. This paper discusses the inclusion relationship between two uncertain sets and illu...

    Authors: Kai Yao
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:13
  19. Project scheduling with uncertain durations becomes a research focus with the development of uncertainty theory. Most researches concerned aim at minimizing project makespan or project cost according to differ...

    Authors: Lei Wang, Hu Huang and Hua Ke
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:12
  20. Asian option is an important financial derivative instrument. It has been widely accepted by investors for its risk management property. Uncertain finance is a new field where the risk processes are described ...

    Authors: Jiajun Sun and Xiaowei Chen
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:11
  21. Multiobjective programming, known as multi-criteria or multi-attribute optimization, is the process of simultaneously optimizing two or more conflicting objectives. This paper aims to provide a new multiobject...

    Authors: Baoding Liu and Xiaowei Chen
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:10
  22. This paper employs uncertain programming to investigate the uncertain multi-modal shortest path problem, in which the arc weights (arc travel time, arc travel costs) associated with different transport modes a...

    Authors: Yan Zhang, Pei Liu, Lixing Yang and Yuan Gao
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:8
  23. This paper proposes a type of multifactor uncertain differential equation within the framework of uncertainty theory. The analytic solutions of four special types of multifactor uncertain differential equation...

    Authors: Shengguo Li, Jin Peng and Bo Zhang
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:7
  24. Uncertain network optimization is the study of network optimization with uncertain data which we often meet in decision making under the presence of uncertainties. The main purpose of this manuscript is to pre...

    Authors: Jin Peng, Bo Zhang and Shengguo Li
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:4
  25. Uncertain measure, which is used to indicate the degree of belief that an uncertain event may occur, is a set function satisfying the normality, duality, and subadditivity axioms. Although the tools of uncerta...

    Authors: Xiang Li
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:3
  26. This paper deals with the divergence of fuzzy variables from a priori one. Within the framework of credibility theory, a fuzzy cross-entropy is defined to measure the divergence, and some mathematical properties ...

    Authors: Xiang Li
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:2
  27. In this paper, a concept of order uncertain variable is introduced as a main tool in analysis of k-out-of-n system with uncertain lifetimes. Then, by the operational law of uncertain variable, the uncertainty ...

    Authors: Yuan Gao, Rong Gao and Lixing Yang
    Citation: Journal of Uncertainty Analysis and Applications 2015 3:1
  28. The present paper introduces a parametric generalized exponential measure of fuzzy divergence of order α with the proof of its validity. A particular case of proposed fuzzy divergence measure is studied. Some pro...

    Authors: Vijay Prakash Tomar and Anshu Ohlan
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:24
  29. Since for most projects, ‘new’ parts (with little or no historical data) and ‘old’ parts (with sufficient historical data) always coexist in the same project, uncertainty and randomness should be considered si...

    Authors: Hua Ke
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:23
  30. In this paper, we introduce closed-form symbolic expressions for the possibility distributions of the coefficients of friction during the tightening process of bolted joints. The parameters in the distribution...

    Authors: Arthur Seibel, Andreas Japing and Josef Schlattmann
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:21
  31. The object of this paper is to utilize the notion of β-admissible in the sense of Mohammadi et al. (Fixed Point Theory Appl. 2013:24, 2013) to prove a fuzzy fixed point theorem and present some corollaries. We al...

    Authors: Supak Phiangsungnoen, Wutiphol Sintunavarat and Poom Kumam
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:20
  32. This article focuses on an imperfect production inventory model considering product reliability and reworking of imperfect items in three-layer supply chain under fuzzy rough environment. In the model, the sup...

    Authors: Amalesh Kumar Manna, Jayanta Kumar Dey and Shyamal Kumar Mondal
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:17
  33. The heat conduction problems for anisotropic bodies are studied taking into account the uncertainties in the material orientation. The best estimations of the upper and lower bounds of the considered energy di...

    Authors: Nikolay Banichuk, Svetlana Ivanova, Pekka Neittaamäki and Tero Tuovinen
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:19
  34. This paper proposes to study the concept of similarity and its use in the design of fuzzy system. The concept of similarity relation is effectively used in fuzzification of crisp values. Similarity index is us...

    Authors: Asim Pal, Banibrata Mondal, Namrata Bhattacharyya and Swapan Raha
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:18
  35. One of the applications of linear programing is to get solutions for fully fuzzy linear system (FFLS) when the near-zero fuzzy number is considered. This usage could be applied to interpret the nature of FFLS ...

    Authors: Ghassan Malkawi, Nazihah Ahmad and Haslinda Ibrahim
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:16
  36. Chance theory is a mathematical methodology for dealing with indeterminacy phenomena involving uncertainty and randomness. In this paper, some properties of chance space are investigated. Based on this, the su...

    Authors: Yongchao Hou
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:14
  37. Uncertain inference is a process of deriving consequences from uncertain knowledge or evidences via the tool of conditional uncertain set. Based on uncertain inference, uncertain system is a function from its ...

    Authors: Zixiong Peng and Xiaowei Chen
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:13
  38. Uncertainty and randomness are two basic types of indeterminacy. Chance theory was founded for modeling complex systems with not only uncertainty but also randomness. As a mixture of randomness and uncertainty...

    Authors: Yuhong Sheng and Kai Yao
    Citation: Journal of Uncertainty Analysis and Applications 2014 2:12