Abstract
Algebraic hyperstructures represent an interesting field of algebra, important both from the theoretical point of view and also for their applications. A hypergroupoid structure can be associated with any social relationship. These hypergroupoids become hypergroups in some particular conditions, among them a condition concerning outer individuals. By analyzing it we can establish in a natural way when social relationships become optimal. The relations among persons are one of the bases of Social Sciences that usually are described by linguistic propositions. If U is a set of individuals (the universe set to consider), usually it is not possible to affirm that for an ordered pair (x, y) of persons belonging to U a relation R given in a linguistic form holds or not, as happens in a binary context. A correct and overall complete modeling of each of these relations is obtained only if we assign to every pair (x, y) ∈ U × U a real number R(x, y) = xRy belonging to interval [0, 1] that is the measure to which the decision maker believes the relation holds.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ameri R, Hoskova-Mayerova S, Amiri-Bideshki M, Borumand Saeid A (2016) Prime filters of hyperlattices. An Stiint Univ “Ovidius” Constanta Ser Mat 24(2):15–26
Ameri R, Kordi A, Hoskova-Mayerova, S (2017) Multiplicative hyperring of fractions and coprime hyperideals. An Stiint Univ “Ovidius” Constanta Ser Mat 25(1):5–23
Corsini P (1993) Prolegomena of hypergroup theory. Aviani Editore, USA
Corsini P, Leoreanu V (2003) Applications of hyperstructure theory. Kluwer Academic Publishers, Dordrecht, Hardbound
Cristea I (2009) Hyperstructures and fuzzy sets endowed with two membership functions. Fuzzy Sets Syst 160:1114–1124
Cristea I, Hoskova S (2009) Fuzzy topological hypergroupoids. Iran J Fuzzy Syst 6(4):13–21
Dresher M, Ore O (1938) Theory of multigroups. Am J Math 60:705–733
Dubois D, Prade H (1988) Fuzzy numbers: an overview. In: Bedzek JC (ed) Analysis of fuzzy information, vol 2. CRC-Press, Boca Raton, FL, pp 3–39
Eaton JE (1940) Remarks on multigroups. Am J Math 62:67–71
Griffiths LW (1938) On hypergroups, multigroups and product systems. Am J Math 60:345–354
Hoskova S, Chvalina J (2008) Discrete transformation hypergroups and transformation hypergroups with phase tolerance space. Discret Math 308(18):4133–4143
Hofmann A, Hoskova-Mayerova S, Talhofer V (2013) Usage of fuzzy spatial theory for modelling of terrain passability. In: Advances in fuzzy systems. Hindawi Publishing Corporation, Article ID 506406, p 7. doi:10.1155/2013/506406
Hoskova S (2005) Discrete transformation hypergroups. In: Proceeding of international conference aplimat, FX spol. s r.o., Bratislava, pp 275–279
Hoskova S, Chvalina J (2009) A survey of investigations of the Brno reseach group in the hyperstructure theory since the last AHA Congress. In: Proceeding of AHA 2008, University of Defence, Brno, pp 71–83
Hoskova-Mayerova S (2012) Topological hypergroupoids. Comput Math Appl 64(9):2845–2849
Hoskova-Mayerova S, Maturo A (2014) An analysis of social relations and social group behaviors with fuzzy sets and hyperstructures. Int J Algebraic Hyperstruct Appl
Hoskova-Mayerova S, Maturo A (2013) Hyperstructures in social sciences. AWER Procedia Inf Technol Comput Sci 3(2013):547–552
Hoskova-Mayerova S, Talhofer V, Hofmann A (2013) Decision-making process with respect to the reliability of geo-database. In: Ventre AG, Maturo A, Hoskova-Mayerova Š, Kacprzyk J (eds) Multicriteria and multiagent decision making with applications to economics and social sciences. Studies in fuzziness and soft computing. Springer, Berlin pp 179–195
Klir G, Yuan B (1995) Fuzzy sets and fuzzy logic: theory and applications. Prentice Hall, Upper Saddle River, NJ
Leoreanu-Fotea VPC (2010) Hypergroups determined by social relationship. Ratio Sociol 3(1):89–94
Marty F (1935) Sur une generalisation de la notion de groupe. In: 8th Scandinavian Congress of Mathematicians. H. Ohlssons boktryckeri, Lund, pp 45–49
Massouros ChG, Mittas J (2009) On the theory of generalized M-polysymmetric hypergroups. Proceeding of AHA 2008. University of Defence, Brno, pp 217–228
Maturo A, Ventre A (2009) Multipersonal decision making, concensus and associated hyperstructures. In: Proceeding of AHA 2008. University of Defence, Brno, pp 241–250
Maturo A (2009) Coherent conditional previsions and geometric hypergroupoids. Fuzzy sets, rough sets and multivalued operations and applications 1(1):51–62
Maturo A, Maturo F (2014) Finite geometric spaces, steiner systems and cooperative games. Analele Universitatii Ovidius Constanta. Seria Matematica 22(1):189–205 ISSN: Online 1844-0835. doi:10.2478/auom-2014-0015
Maturo A, Maturo F (2013) Research in social sciences: fuzzy regression and causal complexity. Springer, Berlin, pp 237–249. doi:10.1007/978-3-642-35635-3_18
Maturo A, Maturo F (2017) Fuzzy events, fuzzy probability and applications in economic and social sciences. Springer International Publishing, Cham, pp 223–233. doi:10.1007/978-3-319-40585-8_20
Maturo A, Sciarra E, Tofan I (2008) A formalization of some aspects of the Social Organization by means of the fuzzy set theory. Ratio Sociologica 1(2008):5–20
Maturo F (2016) Dealing with randomness and vagueness in business and management sciences: the fuzzy probabilistic approach as a tool for the study of statistical relationships between imprecise variables. Ratio Mathematica 30:45–58
Maturo F (2016) La regressione fuzzy. Fuzziness: teorie E applicazioni. Aracne Editrice, Roma, Italy, pp 99–110
Maturo F, Fortuna F (2016). Bell-shaped fuzzy numbers associated with the normal curve. Springer International Publishing, Cham, pp 131–144. doi:10.1007/978-3-319-44093-4_13
Maturo F, Hoskova-Mayerova S (2017). Fuzzy regression models and alternative operations for economic and social sciences. Springer International Publishing, Cham. pp 235–247. doi:10.1007/978-3-319-40585-8_21
Novák M (2014) n-ary hyperstructures constructed from binary quasi-ordered semigroups. An Stiint Univ “Ovidius” Constanta Ser Mat 22:147–168
Novák M (2015) On EL-semihypergroups. Eur J Comb 44(B):274–286
Ragin CC (2000) Fuzzy-set social science. University Chicago Press, Chicago, USA
Ross TJ (1995) Fuzzy logic with engineering applications, McGraw-Hill, New York
Rybansky M, Hofmann A, Hubacek M, Kovarik V, Talhofer V (2015) Modelling of cross-country transport in raster format. Environ Earth Sci 74(10):7049–7058.
Talhofer V, Hofmann A, Hoskova-Mayerova S (2015) Application of fuzzy membership function in mathematical models for estimation of vehicle trafficability in terrain. In B. L. Szarkova D. (ed.) 14th Conference on applied mathematics APLIMAT 2015, Slovak University of Technology in Bratislava, Bratislava, pp 711–719
Talhofer V, Hoskova S, Hofmann A, Kratochvil V (2009) The system of the evaluation of integrated digital spatial data realibility. In: 6th conference on mathematics and physics at technical universities, University of Defence, Brno, pp 281–288
Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–358
Acknowledgements
The work presented in this paper was supported within the project “Development of basic and applied research in the long term developed by the departments of theoretical and applied foundation FMT” (Project code VÝZKUMFVT) supported by the Ministry of Defence the Czech Republic.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this chapter
Cite this chapter
Hoskova-Mayerova, S., Maturo, A. (2018). Decision-making Process Using Hyperstructures and Fuzzy Structures in Social Sciences. In: Collan, M., Kacprzyk, J. (eds) Soft Computing Applications for Group Decision-making and Consensus Modeling. Studies in Fuzziness and Soft Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-60207-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-60207-3_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60206-6
Online ISBN: 978-3-319-60207-3
eBook Packages: EngineeringEngineering (R0)