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010   $a3-031-98472-2
024 7 $a10.1007/978-3-031-98472-3
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035   $a(MiAaPQ)EBC32478857
035   $a(Au-PeEL)EBL32478857
035   $a(DE-He213)978-3-031-98472-3
035   $a(EXLCZ)9944924592500041
100   $a20260110d2026      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFuzzy Sets and Systems I $eAn Introduction with Cases from Business Informatics, Computer Science and Engineering /$fedited by Edy Portmann, Gwendolin Wilke, Luis Terán, Sara D'Onofrio
205   $a1st ed. 2026.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026.
215   $a1 online resource (222 pages)
225 1 $aFuzzy Management Methods,$x2196-4149
311 08$a3-031-98471-4 
327   $aFuzzy Sets and Systems -- Approximative Measurements -- Reputation Management -- Knowledge Carriers -- Data Warehouse -- Phenotropic Interaction -- Responsible Actions.
330   $aIn an era where digital transformation demands ethical foresight and human-centered design, this first volume of a comprehensive trilogy explores how individuals can navigate complexity through responsible technological engagement. By integrating design science research with fuzzy systems theory, it offers a foundation for embedding ethical behavior and sustainable thinking into personal decision-making. The book presents experimentally grounded insights into the scalability and efficiency of human-centric information systems. Volume I introduces fuzzy sets and systems through the ethical lens of the honorable merchant, a holistic concept from medieval Europe. Focusing on the individual level, it explores how humanistic principles inform leadership and responsibility in business informatics, computer science, and engineering. Topics include approximative measurements, reputation management, knowledge carriers, data warehousing, and phenotropic interactions. A responsible actions framework concludes the volume, offering practical guidance for ethically navigating uncertainty in individual contexts. This textbook trilogy is primarily intended for students of computer science, business information systems, and innovation management who aspire to make a meaningful impact. It will also appeal to managers who value balanced perspectives and data-driven analysis.
410  0$aFuzzy Management Methods,$x2196-4149
606   $aBusiness information services
606   $aTechnological innovations
606   $aUser interfaces (Computer systems)
606   $aHuman-computer interaction
606   $aSoftware engineering
606   $aIT in Business
606   $aInnovation and Technology Management
606   $aUser Interfaces and Human Computer Interaction
606   $aSoftware Engineering
615  0$aBusiness information services.
615  0$aTechnological innovations.
615  0$aUser interfaces (Computer systems)
615  0$aHuman-computer interaction.
615  0$aSoftware engineering.
615 14$aIT in Business.
615 24$aInnovation and Technology Management.
615 24$aUser Interfaces and Human Computer Interaction.
615 24$aSoftware Engineering.
676   $a511.3223
700   $aPortmann$b Edy$01064496
701   $aPortmann$01886734
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911054599703321
996   $aFuzzy Sets and Systems I$94529235
997   $aUNINA