A Fuzzy Multicriteria Decision-Making Approach to Crime Linkage

Dutta, Palash; Goala, Soumendra

doi:10.4018/ijitsa.2018070103

Cited by 13 publications

(6 citation statements)

References 23 publications

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“…Let us consider the HFEs h1={ 1,1 }(Full HFE)andh2={ 0,0 } (Empty HFE). Then the distance degree between full HFE and empty HFE is d(h1,h2)=0.5by the distance measure presented by Goala & Dutta (2018). But obviously it is a well-known fact that distance between the full HFE and empty HFE should be 1 and the same fact is corroborated by the proposed distance, that is, d(h1,h2)=1, which is more logical.…”

Section: Advantages Of the Proposed Distance Measurementioning

confidence: 83%

“…Due to this reason, decision-makers are unable to give accurate results. Besides, in Goala and Dutta (2018) process, the distance between the whole HFE and empty HFE is 0.5, which is not reasonable. Such type of result affects the ranking in the decision-making problems.…”

Section: Advantages Of the Proposed Distance Measurementioning

confidence: 98%

“…In this section, we cite some numerical examples for displaying the advantages of our proposed distance measure over the existing distance measures. Major drawbacks are encountered in the existing approaches presented by Xu and Xia (2011) and Goala and Dutta (2018). In Xu and Xia (2011) approach, extra elements are added in HFEs with a view to balance the order of HFEs.…”

Section: Advantages Of the Proposed Distance Measurementioning

confidence: 99%

“…For example, Xu and Xia (2011) investigated distance measure and similarity measure on hesitant fuzzy sets. Recently, a new distance measure on hesitant fuzzy sets has been developed by Goala and Dutta (2018) and applied in fuzzy multi-criteria decision-making to help crime linkage analysis.…”

mentioning

confidence: 99%

“…In Xu and Xia’s (2011) approach, one needs to add extra elements in hesitant fuzzy elements (HFEs) using the method for finding distance between HFEs if they have a different number of elements, which may lead to wrong results. Although Goala and Dutta (2018) tried to overcome this limitation, in their approach, they were unable to show that the distance between full HFE and empty HFE is 1. These limitations directed us to reflect on the following main objectives: To propose a novel distance between two HFEs. To develop an algorithm to solve MCDM under hesitant fuzzy domain by using our proposed distance measure. To present a comparative analysis with the help of examples to predict the advantage of our proposed distance measure. …”

mentioning

confidence: 99%

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A Decision-making Approach for Choosing a Reliable Product under the Hesitant Fuzzy Environment via a Novel Distance Measure

Dutta

Saikia

2020

Vikalpa: The Journal for Decision Makers

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Executive Summary In the contemporary time, the reliability of any product has become a big issue from the customer’s perspective due to exponentially mushrooming markets of electronics and digital gadgets. Since the use of digital equipment is tremendously increasing, as a consequence, the production and availability of products are also increasing rampantly. Due to the flooding of digital products, customers often end up in a dilemma regarding the abundant choice and subsequently, become very much dependent upon the reviews of experts and fellow customers as well. In many cases, unfortunately, it is encountered that the products are not reliable enough as suggested by the reviewers. Besides, it is often seen that the manufacturing companies provide almost similar types of features and facilities for products and customers usually end up in a dilemma The confusion gets triggered when varieties of commodities are manufactured and supplied by different manufacturers bearing almost the same features nearly at the same price. In such situations, the reviews of experts and customers already using the product become essential. The reliability of a product relies upon the reviews of the previous customers of the same product. In this article, fuzzy multi-criteria decision-making methodology has been employed to find the reliability of a product considering different features of the product based on the reviews of customers and experts. This paper presents a neo distance measure on hesitant fuzzy set which is found on the notion of score function and mean deviation. Explanatory instances are provided to reveal the distinctiveness and merit of our proposed idea on distance measure over existing distance measures. After that, the proposed distance measure is applied in the decision-making approach for taking up the best electronic products. It is evidenced that the proposed distance measure is beneficial to measure distance degree between two unequal Hesitant Fuzzy Elements (HFEs) without putting extra elements in the shorter HFE. The proposed distance measures can be utilized in the decision-making field in the near future under diverse conditions to display undetermined particulars in a much-clarified manner.

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