Open Access
ARTICLE
Jun Ye
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 1-8, 2018, DOI:10.1080/10798587.2016.1261955
Abstract This paper proposes a dimension root distance and its similarity measure of single-valued neutrosophic
sets (SVNSs), and then develops the fault diagnosis method of hydraulic turbine by using the dimension
root similarity measure of SVNSs. By the similarity measures between the fault diagnosis patterns
and a testing sample with single-valued neutrosophic information and the relation indices, we can
determine the main fault type and the ranking order of various vibration faults for predicting some
possible fault trend. Then, the comparison of the fault diagnoses of hydraulic turbine based of the
proposed dimension root similarity measure and the existing cotangent similarity… More >
Open Access
ARTICLE
S. M. Mousavia, M. Zandiehb
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 9-16, 2018, DOI:10.1080/10798587.2016.1261956
Abstract This paper considers the problem of scheduling n independent jobs in g-stage hybrid flow shop
environment. To address the realistic assumptions of the proposed problem, two additional traits
were added to the scheduling problem. These include setup times, and the consideration of maximum
completion time together with total tardiness as objective function. The problem is to determine
a schedule that minimizes a convex combination of objectives. A procedure based on hybrid the
simulated annealing; genetic algorithm and local search so-called HSA-GA-LS are proposed to handle
this problem approximately. The performance of the proposed algorithm is compared with a genetic
algorithm… More >
Open Access
ARTICLE
K. Donald Thama, Asad M. Madnib
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 17-26, 2018, DOI:10.1080/10798587.2017.1284411
Abstract The Sarbanes-Oxley (SOX) Act 2002 resulted from the mounting accounting and corporate scandals in
the late 1990s and early 2000s. Since the passage of the SOX Act, companies are facing even greater
challenges to meet raised expectations to provide accurate, visible, and timely information for SOX
compliance. This research puts forth a systems design framework to achieve a real time, accurate,
consistently traceable and easily verifiable SOX compliant technology. Our multidisciplinary and
integrative systems design incorporates Overall Equipment Effectiveness (OEE) to ensure effective
business performance within a knowledge represented company modeled as Enveloped Activity
Based Enterprise Model (EABEM) that facilitates… More >
Open Access
ARTICLE
Zhiquan Huanga,b, Yu Fua, Fuchu Daia
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 29-34, 2018, DOI:10.1080/10798587.2016.1267237
Abstract The rapid development and extensive application of geographic information system (GIS) and the
advent of the age of big data bring about the generation of multi-resources spatial data, which makes
data integration and fusion share more difficult due to the differences on data source, data accuracy
and data modal. Meanwhile, study for multi-resources spatial data fusion methods has an important
practical significance for reducing the production cost of geographic data, accelerating the updating
speed of existing geographical information and improving the quality of GIS big data. To expound the
formation and developing trends of multi-resources spatial data fusion methods systematically,… More >
Open Access
ARTICLE
Hui Wang, Liang Li, Long-yun Gao, Wu Chen
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 35-40, 2018, DOI:10.1080/10798587.2016.1267238
Abstract With the development of big data science, handling intensive knowledge in the complex network
becomes more and more important. Knowledge representation of multi-agent negotiation in the
complex network plays an important role in big data science. As a modern approach to declarative
programming, answer set programming is widely applied in representing the multi-agent negotiation
knowledge in recent years. But almost all the relevant negotiation models are based on complete
rational agents, which make the negotiation process complex and low efficient. Sorting negotiation
demands is the most key step in creating an efficient negotiation model to improve the negotiation
ability of… More >
Open Access
ARTICLE
Jun Yea, Xianlin Zhoub, Zheng Xuc, Yong Dingd
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 41-46, 2018, DOI:10.1080/10798587.2016.1267239
Abstract In big data era, people cannot afford more and more complex computation work due to the constrained
computation resources. The high reliability, strong processing capacity, large storage space of cloud
computing makes the resource-constrained clients remotely operate the heavy computation task
with the help of cloud server. In this paper, a new algorithm for secure outsourcing of high degree
polynomials is proposed. We introduce a camouflage technique, which the real polynomial will be
disguised to the untrusted cloud server. In addition, the input and output will not be revealed in the
computation process and the clients can easily verify the… More >
Open Access
ARTICLE
Xiaoqing Zuoa, Hongchu Yua, Chenbo Zib, Xiaokun Xub, Liqi Wangb, Haibo Liub
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 47-54, 2018, DOI:10.1080/10798587.2016.1267240
Abstract Micro deformation monitoring system (IBIS-L) using high frequency microwave as signal for transmission,
is easily affected by meteorology. How to eliminate the meteorological influence effectively, and
extract useful information from the big data becomes a key to monitor the slope deformation with
high precision by the IBIS-L system. Evaluation of the optimum meteorological correction mode for
Slope Deformation Monitoring to ensure the accuracy of measurement is considered. This objective
was realized by model construction technology, which uses calculation formula of Microwave
Refraction rate, and the radial distance from the target point to the IBIS-L system to estimate the
irreal displacement by meteorological… More >
Open Access
ARTICLE
Yichi Zhanga, Hongbin Wangb
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 55-64, 2018, DOI:10.1080/10798587.2016.1267241
Abstract In order to research biological cells, a well-established physical method can be used, that is
electrorotation. To achieve electrorotation system, a signal oscillator or a signal generator is always
needed. The signal generator is used for generating signals with phase shift and transfers it to the
electro chamber. The frequency range of the output signal is generally between 20 Hz to 100 MHz for
the signal generator, but for high frequency range, like 100 MHz to 1 GHz, the signal generator is hard
to control and the linear properties for the output signal is not good enough to do the electrorotation.
So design a… More >
Open Access
ARTICLE
Wan Taoa,b, Tao Liua,b
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 65-72, 2018, DOI:10.1080/10798587.2016.1267243
Abstract With the explosive growth of various social media applications, individuals and organizations are
increasingly using their contents (e.g. reviews, forum discussions, blogs, micro-blogs, comments, and
postings in social network sites) for decision-making. These contents are typical big data. Opinion
mining or sentiment analysis focuses on how to extract emotional semantics from these big data to help
users to get a better decision. That is not an easy task, because it faces many problems, such as different
context may make the meaning of the same word change variously, at the same time multilingual
environment restricts the full use of the analysis… More >
Open Access
ARTICLE
Jie Liua,b,c,d, Xiaodong Fud, Jin Liua,b,c, Yunchuan Suna,e
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 73-80, 2018, DOI:10.1080/10798587.2016.1267244
Abstract Reviews are contents written by users to express opinions on products or services. The information
contained in reviews is valuable to users who are going to make decisions on products or services.
However, there are numbers of reviews for popular products, and the quality of reviews is not always
good. It’s necessary to pick out reviews, which are in high quality from numbers of reviews to assist user
in making decision. In this paper, we collected 21,501 reviews flagged as good from 499,253 products
on JD.com. We observed the level of users is an important factor affects the quality of… More >
Open Access
ARTICLE
Yuxiang Zhanga, Xin Zhanga, Jiazhao Chenb, Jianhai Yanga
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 81-88, 2018, DOI:10.1080/10798587.2016.1267245
Abstract Bolt loosening is a common structural failure, which received extensive attention from many industrial
departments. Because the uneven stress on different directions of a bolt is the common reason that
the bolt becomes loose, it is quite important to carry out the research about sensitive detection of bolt
loosening. Using Agilent 4924A instrument, this paper precedes the loosening test of bolts based on
Electro-Mechanical Impedance (EMI), on an aluminum plate instead of flange plate for simplification.
And the electromechanical admittance is given according to the fundamental equation of PiezoMaterial Lead Zirconate Titanate (PZT). Specifically, the paper first studies the detecting… More >
Open Access
ARTICLE
Xinzhi Wanga, Yi Liub, Hui Zhanga, Qiuju Maa, Zhidong Caoc
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 89-96, 2018, DOI:10.1080/10798587.2016.1267246
Abstract Public health emergency is governed by the physical rules, which are related to the propagation of
diseases in the physical space, and the social rules, which are related to government structures, social
behaviors, and social media in cyber space. Effective preparedness and response of public health
emergency is strongly related to interoperation, collaboration and cooperation among different levels
of government agencies and among different regions, as well as information flow and data mining
between agencies and general public. In this paper, we review the technologies using multi-source
data for public health emergency in China. At the micro-level, risk analysis and… More >
Open Access
ARTICLE
Yunlan Xuea, Lingyu Xub, Jie Yub, Gaowei Zhangb
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 97-106, 2018, DOI:10.1080/10798587.2016.1267247
Abstract The increase of scale and complexity of Internet big data presents unprecedented opportunities on
Cyber-Physical Systems (CPS). The incompleteness and incredibility of Internet big data are challenging
issues for confirming the event influence scope. To solve the above problem, we propose CyberPhysical Space Event Model (CPSEM) to analyze event influence in multi-viewer, which maps real data
into Cyber Space (CS) and Physical Space (PS). In addition, we propose Event Influence Scope Detection
Algorithm (EISDA) to detect the scope of a hot event in Cyber Space and Physical Space. More >
Open Access
ARTICLE
Yefeng Maa, Hui Zhangb
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 107-114, 2018, DOI:10.1080/10798587.2016.1267249
Abstract Emerging communication and computing technologies such as social media, Internet of Things and
big data provide great opportunities to improve information management systems for emergency
operations. This paper studies the issues of information management at China’s Emergency Operations
Center (EOC), and proposes a data-driven knowledge management system (KMS) to support decisionmaking, coordination, and collaboration within EOCs and with the public. In the proposed KMS, big
data analytics is employed to gather and analyze information from different knowledge domains and
track how a crisis evolves in physical world and in cyber space. The proposed system aims at improving
situation awareness of… More >
Open Access
ARTICLE
Lijuan Qina,b, Ting Wangb, Chen Yaob
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 115-122, 2018, DOI:10.1080/10798587.2016.1267250
Abstract Substation inspection work plays a very important role in ensuring the normal production and the safe
operation of a transformer substation. Use of a substation inspection robot can effectively solve the
omission problems of a manual inspection. It can further improve the unmanned and automation of
substation and improve security of station. A substation inspection system requires the establishment
of a spatial position relation between the robot and the inspection object in the monitoring station.
Key technology is the spatial location of the object being detected in the substation. The position
of inspection object is unknown. This paper gives technical… More >
Open Access
ARTICLE
Zhiguo Yan, Zheng Xu, Jie Dai
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 123-132, 2018, DOI:10.1080/10798587.2016.1267251
Abstract In the Big-Data era, currently how to automatically realize acquisition, refining and fast retrieval of the
target information in a surveillance video has become an urgent demand in the public security video
surveillance field. This paper proposes a new gun-dome camera cooperative system, which solves
the above problem partly. The system adopts a master-slave static panorama-variable view dualcamera cooperative video-monitoring system. In this dual-camera system the gun camera static camera）
with a wide viewing -angle lenses is in charge of the pedestrian detection and the dome camera can
maneuver its focus and cradle orientation to get the clear and enlarged… More >
Open Access
ARTICLE
Qingyuan Zhoua, Jianjian Luob
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 133-138, 2018, DOI:10.1080/10798587.2016.1267444
Abstract Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly
used software tools to capture, manage, and process the data within a tolerable elapsed time. In a
Smarter City, available resources are harnessed safely, sustainably and efficiently to achieve positive,
measurable economic and societal outcomes. Most of the challenges of Big Data in Smart Cities are
multi-dimensional and can be addressed from different multidisciplinary perspectives. Based on the
above considerations, this paper combined the PSR method, the fuzzy logic model and the entropy
weight method in an empirical study for feasible urban public… More >
Open Access
ARTICLE
Zheng Jiea,b, Li Jianpinga
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 139-144, 2018, DOI:10.1080/10798587.2016.1267445
Abstract Network protocols are sets of standards for certain network communications. The identification and
analysis of network protocol are of significance to network management and security. There are
various technologies of protocol identification, but in the process of identification protocols, in order
to simplify the identification process and improve the efficiency of protocol identification, unknown
mixed multi-protocol needs to be separated into single protocol so as to make further identification.
This paper presents an efficient method to determine the single protocol address message based
on the previous research of separating unknown mixed data frame into single protocol. By this way,
the… More >
Open Access
ARTICLE
Dong Qiu, Rongwen Dong, Shuqiao Chen, Andi Li
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 147-150, 2018, DOI:10.1080/10798587.2017.1327153
Abstract In this paper, we research the optimization problems with multiple Z-number valued objectives.
First, we convert Z-numbers to classical fuzzy numbers to simplify the calculation. A new dominance
relationship of two fuzzy numbers based on the lower limit of the possibility degree is proposed. Then
according to this dominance relationship, we present a multi-objective evolutionary algorithm to
solve the optimization problems. Finally, a simple example is used to demonstrate the validity of the
suggested algorithm. More >
Open Access
ARTICLE
Raheleh Jafaria, Wen Yua, Xiaoou Lib
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 151-158, 2018, DOI:10.1080/10798587.2017.1327154
Abstract In this paper, the uncertainty property is represented by the Z-number as the coefficients of the fuzzy
equation. This modification for the fuzzy equation is suitable for nonlinear system modeling with
uncertain parameters. We also extend the fuzzy equation into dual type, which is natural for linearin-parameter nonlinear systems. The solutions of these fuzzy equations are the controllers when the
desired references are regarded as the outputs. The existence conditions of the solutions (controllability)
are proposed. Two types of neural networks are implemented to approximate solutions of the fuzzy
equations with Z-number coefficients. More >
Open Access
ARTICLE
S. Z. Eyupoglua, K. I. Jabbarovab, K. R. Aliyevac
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 159-164, 2018, DOI:10.1080/10798587.2017.1327156
Abstract Complexities in organizational and economical environments have lead psychologists, management
scholars, and economists to investigate the multi-dimensional essence of job satisfaction. Unfortunately,
existing studies are based on exact data, whereas relevant information is imperfect. To deal with imprecise
and partially reliable information, Zadeh proposed the concept of a Z-number. In this paper we consider
the Z-number valued rule based model to represent the relationship between job satisfaction and the
facets/factors influencing job satisfaction. A real-world job satisfaction index evaluation problem is used
to illustrate the suggested approach More >
Open Access
ARTICLE
Wen Jiang, Chunhe Xie, Boya Wei, Yongchuan Tang
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 165-172, 2018, DOI:10.1080/10798587.2017.1327158
Abstract The main objective of this paper is to propose a new method for failure mode and effects analysis
(FMEA) based on Z-numbers. In the proposed method, firstly, Z-numbers are used to perform the
valuations (Z-valuation) of the risk factors like occurrence (O), severity (S) and detection (D). Secondly,
the Z-valuations of the risk factors are integrated by fuzzy weighted mean method. A new risk priority
number named as ZRPN is calculated to prioritize failure modes based on a modified method of
ranking fuzzy numbers. Finally, a case study for the rotor blades of an aircraft turbine is performed to
demonstrate… More >
Open Access
ARTICLE
Gunay Sadikoglu
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 173-178, 2018, DOI:10.1080/10798587.2017.1327159
Abstract Consumer behaviour has always been of a great interest in marketing research. The consumer buying
behaviour has become an integral part of strategic market planning and includes mental, emotional
and physical activities. The consumer behaviour and decision-making process are usually subject
to uncertainties related to influences of socio-cultural, psychological and personal factors. In this
paper, the Z-number concept is applied for handling uncertainties in analysing the consumer buying
behaviour. More >
Open Access
THEORY
Mark J. Wierman
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 179-186, 2018, DOI:10.1080/10798587.2017.1327160
Abstract The theory of Zets is presented and the standard techniques of set theory allows for the development
of a rich algebra of Zets. It shows that Zets and fuzzy sets are essentially interchangeable. However,
the fundamental manipulations, techniques, and definitions of Zets are simple and more amenable to
analyze. For example, the extension principle is easy to define. More >
Open Access
ARTICLE
Lala M. Zeinalovaa, O. H. Huseynovb, P. Sharghic
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 187-192, 2018, DOI:10.1080/10798587.2017.1327551
Abstract Regression analysis is widely used for modeling of real-world processes in various fields. It should be
noted that information relevant to real-world processes is characterized by imprecision and partial
reliability. This involves combination of fuzzy and probabilistic uncertainties. Prof.. L. Zadeh introduced
the concept of a Z-number as a formal construct for dealing with such information. The present stateof-the-art of regression analysis under Z-number valued information is very scarce. In this paper we
consider a Z-number valued multiple regression analysis and its application to a real-world decisionmaking problem. The obtained results show applicability of the proposed approach. More >
Open Access
ARTICLE
Somayeh Ezadia, Tofigh Allahviranloob
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 193-204, 2018, DOI:10.1080/10798587.2017.1328812
Abstract In this article, the researcher at first focuses on introducing a linear regression based on the Z-number.
In this regression, observations are real, but the coefficients and results of observations are unknown
and in the form of Z-rating. Therefore, to estimate this type of regression, we have three distinct ways
depending on different conditions dominating the problem. The three methods are a combination of
artificial neural networks and fuzzy generalized improvements of the technique. Moreover the method
of calculating the weights of the Z-number neural network has been mentioned and the stability of
neural network weights is considered. In some… More >
Open Access
ARTICLE
R. A. Alieva,b, Vladik Kreinovichc
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 205-210, 2018, DOI:10.1080/10798587.2017.1330310
Abstract Traditional [0; 1] based fuzzy sets were originally invented to describe expert knowledge expressed in
terms of imprecise “fuzzy” words from the natural language. To make this description more adequate,
several generalizations of the traditional [0; 1] based fuzzy sets have been proposed, among them type-
2 fuzzy sets and Z-numbers. The main objective of this paper is to study the relation between these
two generalizations. As a result of this study, we show that if we apply data processing to Z-numbers,
then we get type-2 sets of special type —that we call monotonic. We also prove that every monotonic… More >
Open Access
ARTICLE
R. A. Alieva,b
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 211-216, 2018, DOI:10.1080/10798587.2017.1330311
Abstract Commonsense reasoning plays a pivotal role in the development of intelligent systems for decisionmaking, system analysis, control and other applications. As Prof. L. Zadeh mentions a kernel of the
theory of commonsense is the concept of usuality. Zadeh suggested main principles of the theory of
usuality, unfortunately up to present day; a fundamental and systemic approach to reasoning with
usual knowledge is not developed.
In this study, we develop a new approach to calculus of usual numbers (U-numbers). We consider a
U-number as a Z-number, where the second component is “usually”. Validity of the suggested approach
is verified by examples. More >
Open Access
ARTICLE
Somayeh Ezadia, Tofigh Allahviranloob
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 217-221, 2018, DOI:10.1080/10798587.2017.1367146
Abstract Many practical applications, under the definitive evolutionary state of the nature, the consequences of
the decisions, mental states of a decision maker are required. Thus, the need is for a new concept in the
analysis of decision-making. Zadeh has introduced this concept as the Z-number. Because the concept
is relatively new, Z-number in fuzzy sets, hence, its basic theoretical aspects are yet undetermined. This
paper presents a method for ranking Z-numbers. Hence, we propose a new method for ranking fuzzy
numbers based on that of hyperbolic tangent function and convex combination. Then, using the same
technique we propose a method… More >
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