A fuzzy modeling approach for group decision making in social networks

Gulsum Akkuzu; Benjamin Aziz; Mo Adda

doi:10.1007/978-3-030-20482-2_7

A fuzzy modeling approach for group decision making in social networks

Gulsum Akkuzu, Benjamin Aziz, Mo Adda

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Social networks have been commonly used, people use social networks with various purposes, such as, enjoying time, making business, and contacting their friends. All these activities are mainly based on sharing data. In social networks, making decision on data sharing process has become one of the main challenge because it involves people who have different opinions on the same problem. Diversified opinions cause uncertainties in decision making process. Fuzzy logic is used to overcome uncertainties’ situations. In this work, we provide a fuzzy logic based decision making framework for SNs. The proposed fuzzy logic based framework uses data sensitivity value and trust value (confidence value) to make the group decision. Users express their opinions on data security features to obtain aggregated decision. Facebook data sharing process is chosen as a case study.

Original language	English
Title of host publication	Business Information Systems
Subtitle of host publication	22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II
Editors	Witold Abramowicz, Rafael Corchuelo
Publisher	Springer
Pages	74-85
ISBN (Electronic)	978-3-030-20482-2
ISBN (Print)	978-3-030-20481-5
DOIs	https://doi.org/10.1007/978-3-030-20482-2_7
Publication status	Published - Jun 2019
Event	22nd International Conference on Business Information Systems - Sevilla, Spain Duration: 22 Jun 2019 → 26 Jun 2019 http://bis.ue.poznan.pl/bis2019/

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer
Volume	354
ISSN (Print)	1865-1348
ISSN (Electronic)	1865-1356

Conference

Conference	22nd International Conference on Business Information Systems
Abbreviated title	BIS2019
Country/Territory	Spain
City	Sevilla
Period	22/06/19 → 26/06/19
Internet address	http://bis.ue.poznan.pl/bis2019/

Keywords

aggregated group decision making
fuzzy systems
online social networks

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10.1007/978-3-030-20482-2_7

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The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-20482-2_7.
Accepted author manuscript (Post-print), 917 KB

Cite this

Akkuzu, G., Aziz, B., & Adda, M. (2019). A fuzzy modeling approach for group decision making in social networks. In W. Abramowicz, & R. Corchuelo (Eds.), Business Information Systems: 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II (pp. 74-85). (Lecture Notes in Business Information Processing; Vol. 354). Springer. https://doi.org/10.1007/978-3-030-20482-2_7

Akkuzu, Gulsum ; Aziz, Benjamin ; Adda, Mo. / A fuzzy modeling approach for group decision making in social networks. Business Information Systems: 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II. editor / Witold Abramowicz ; Rafael Corchuelo. Springer, 2019. pp. 74-85 (Lecture Notes in Business Information Processing).

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title = "A fuzzy modeling approach for group decision making in social networks",

abstract = "Social networks have been commonly used, people use social networks with various purposes, such as, enjoying time, making business, and contacting their friends. All these activities are mainly based on sharing data. In social networks, making decision on data sharing process has become one of the main challenge because it involves people who have different opinions on the same problem. Diversified opinions cause uncertainties in decision making process. Fuzzy logic is used to overcome uncertainties{\textquoteright} situations. In this work, we provide a fuzzy logic based decision making framework for SNs. The proposed fuzzy logic based framework uses data sensitivity value and trust value (confidence value) to make the group decision. Users express their opinions on data security features to obtain aggregated decision. Facebook data sharing process is chosen as a case study.",

keywords = "aggregated group decision making, fuzzy systems, online social networks",

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editor = "Witold Abramowicz and Rafael Corchuelo",

booktitle = "Business Information Systems",

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Akkuzu, G, Aziz, B & Adda, M 2019, A fuzzy modeling approach for group decision making in social networks. in W Abramowicz & R Corchuelo (eds), Business Information Systems: 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II. Lecture Notes in Business Information Processing, vol. 354, Springer, pp. 74-85, 22nd International Conference on Business Information Systems, Sevilla, Spain, 22/06/19. https://doi.org/10.1007/978-3-030-20482-2_7

A fuzzy modeling approach for group decision making in social networks. / Akkuzu, Gulsum; Aziz, Benjamin; Adda, Mo.
Business Information Systems: 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II. ed. / Witold Abramowicz; Rafael Corchuelo. Springer, 2019. p. 74-85 (Lecture Notes in Business Information Processing; Vol. 354).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - A fuzzy modeling approach for group decision making in social networks

AU - Akkuzu, Gulsum

AU - Aziz, Benjamin

AU - Adda, Mo

PY - 2019/6

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N2 - Social networks have been commonly used, people use social networks with various purposes, such as, enjoying time, making business, and contacting their friends. All these activities are mainly based on sharing data. In social networks, making decision on data sharing process has become one of the main challenge because it involves people who have different opinions on the same problem. Diversified opinions cause uncertainties in decision making process. Fuzzy logic is used to overcome uncertainties’ situations. In this work, we provide a fuzzy logic based decision making framework for SNs. The proposed fuzzy logic based framework uses data sensitivity value and trust value (confidence value) to make the group decision. Users express their opinions on data security features to obtain aggregated decision. Facebook data sharing process is chosen as a case study.

AB - Social networks have been commonly used, people use social networks with various purposes, such as, enjoying time, making business, and contacting their friends. All these activities are mainly based on sharing data. In social networks, making decision on data sharing process has become one of the main challenge because it involves people who have different opinions on the same problem. Diversified opinions cause uncertainties in decision making process. Fuzzy logic is used to overcome uncertainties’ situations. In this work, we provide a fuzzy logic based decision making framework for SNs. The proposed fuzzy logic based framework uses data sensitivity value and trust value (confidence value) to make the group decision. Users express their opinions on data security features to obtain aggregated decision. Facebook data sharing process is chosen as a case study.

KW - aggregated group decision making

KW - fuzzy systems

KW - online social networks

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Akkuzu G, Aziz B, Adda M. A fuzzy modeling approach for group decision making in social networks. In Abramowicz W, Corchuelo R, editors, Business Information Systems: 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II. Springer. 2019. p. 74-85. (Lecture Notes in Business Information Processing). Epub 2019 May 18. doi: 10.1007/978-3-030-20482-2_7

A fuzzy modeling approach for group decision making in social networks

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