The Application of Mamdani Fuzzy Inference System in Evaluating Green Supply Chain Management Performance

Pourjavad, Ehsan; Shahin, Arash

doi:10.1007/s40815-017-0378-y

Cited by 109 publications

(52 citation statements)

References 54 publications

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“…The crisp output is obtained by using a Mamdani fuzzy inferencing engine [25], which aggregates the fuzzy rules. It follows centroid approach in which the center of the area under the curve of a membership function gives the crisp output.…”

Section: Defuzzificationmentioning

confidence: 99%

Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Haripriya

Kulothungan

2019

J Wireless Com Network

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The advancements in the domain of Internet of Things (IoT) accelerated the development of new communication technologies. Machine to machine communication in IoT is accomplished with application protocols such as the Constrained Application Protocol and Message Queuing Telemetry Transport (MQTT). The openness of these protocols leads to various types of attacks including DoS Attack. MQTT is widely used in secure IoT applications like health monitoring. One of the prominent attacks in IoT is the denial of service (DoS) attack. This enforces the need for an efficient intrusion detection system method in MQTT-based application. In this paper, we address the vulnerabilities in MQTT, through which intruders can control the low-configuration devices in the network. This paper proposes a lightweight fuzzy logic-based intrusion detection scheme called Secure-MQTT, for detecting malicious activity during the communication between IoT devices. The proposed method uses a fuzzy logic-based system to detect the malicious behavior of the node with the help of a fuzzy rule interpolation mechanism. Secure-MQTT avoids the use of a dense rule base by exploiting the fuzzy rule interpolation that generates rules dynamically. The proposed method provides an effective mechanism to protect the low configuration devices from the DoS attack. The simulation results show that the proposed method detects the attacks more accurately when compared to the existing methods.

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Section: Defuzzificationmentioning

confidence: 99%

Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Haripriya

Kulothungan

2019

J Wireless Com Network

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“…Then, the defuzzification process is used to transform fuzzy output to crisp output. Several popular defuzzification approaches have been defined for defuzzification process, such as the COA, the bisector of area method (BOM), the mean of maximum method (MOM), the smallest of maximum method (SOM) and the largest of maximum method (LOM) (Pourjavad & Shahin, ). The fuzzy toolbox of Matlab software is applied for the whole calculation process.…”

Section: Proposed Approachmentioning

confidence: 99%

Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system

Pourjavad

Shahin

2018

Intell Sys Acc Fin Mgmt

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The aim of this paper is to propose a comprehensive framework for simultaneously measuring the performance of sustainable service and manufacturing supply chain management. Application of the proposed approach also results in reduced uncertainty of the performance measurement process caused by qualitative criteria evaluation. The proposed approach consists of two main steps. First, the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method has been used to determine important criteria by avoiding low influences; and then a Mamdani fuzzy inference system model has been adopted and applied for performance evaluation of sustainable supply chain management (SSCM). This model is employed in order to cope with the vagueness that exists in the SSCM performance investigation due to the vagueness intrinsic in the evaluation of criteria. In the proposed model, human reasoning has been modelled with fuzzy inference rules and has been set in the system, which is an advantage compared with those models in which fuzzy set theory and multicriteria decision-making models are integrated. The proposed approach has been implemented in the pipe and fitting industry in order to highlight its application in real life. Sensitivity analysis has been carried out to determine the influence of service and manufacturing criteria on SSCM performance. The findings reveal that sustainable manufacturing criteria compared with sustainable service criteria have more effect on the performance of SSCM.

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“…The theory of fuzzy logic was first introduced by Lotfi A. Zadeh to model the uncertainity of the natural language [35]. Fuzzy logic plays an important role when applied to complex phenomena not easily described by traditional mathematics, so it is used to model uncertain natural systems like investment (or finance) to facilitate decision making by means of approximate reasoning and linguistic terms [24]. A fuzzy set in a universe of discourse X is defined by a membership which associates with each element x in X a real number in the interval [35].…”

Section: Fuzzy Logic and Fuzzy Operationsmentioning

confidence: 99%

“…Decision making plays a key role in both scientific and realworld applications. Under the challenges possessed by linguistic imprecision and ambiguity of human being's judgment [24] , it is crucial for decision makers to use some rigorous techniques and artificial intelligence tools from which they will use to make informed investment decisions. In general, we deal with problems in terms of systems that are constructed as models of some aspects of reality.…”

Section: Introductionmentioning

confidence: 99%

An Artificial Intelligence Approach for Decision Making in Investment

Zaher¹,

Ragaa²,

Moshref³

2018

IJCA

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This paper considers decision making for fuzzy investments. A proposed client asset allocation model based on Mamdani FIS. The major aim of building such model is to help advising clients how to allocate portions of their investments in three types of assets, saving account, investment certificate and investment fund. The investment advisory models are applied with the goal of maximizing the expected return under two constraints, client's risk and age. The investment decisions can be undertaken when the aggregated if-then rules are applied in Mamdani FIS. A comparison between using different types and number of membership functions is outlined.The types of membership functions used are triangular MF ,Trapizodial MF and mixing between both triangular an trapizodial MF. It was found that using the MFs of the same kind triangular MF only or trapezoidal MF only give better expected returns than mixed MFs. The work is accompanied by an illustrative case study that show the validity of the approach, followed by some recommendations for future research area.

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The Application of Mamdani Fuzzy Inference System in Evaluating Green Supply Chain Management Performance

Cited by 109 publications

References 54 publications

Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system

An Artificial Intelligence Approach for Decision Making in Investment

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