The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations

Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy p...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wu, Nannan [verfasserIn] Xu, Yejun Hipel, Keith W.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019transfer abstract

Schlagwörter:	Stability definitions The graph model for conflict resolution Incomplete fuzzy reciprocal preferences relations Water export conflict

Umfang:	19

Übergeordnetes Werk:	Enthalten in: Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species - Polizzi, P. ELSEVIER, 2017transfer abstract, [S.l.]
Übergeordnetes Werk:	volume:377 ; year:2019 ; day:15 ; month:12 ; pages:52-70 ; extent:19

Links:	Volltext

DOI / URN:	10.1016/j.fss.2018.11.012

Katalog-ID:	ELV04822250X

Internformat


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245	1	4	\|a The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations
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520			\|a Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations.
520			\|a Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations.
650		7	\|a Stability definitions \|2 Elsevier
650		7	\|a The graph model for conflict resolution \|2 Elsevier
650		7	\|a Incomplete fuzzy reciprocal preferences relations \|2 Elsevier
650		7	\|a Water export conflict \|2 Elsevier
700	1		\|a Xu, Yejun \|4 oth
700	1		\|a Hipel, Keith W. \|4 oth
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hierarchy_sort_str	2019transfer abstract
bklnumber	44.40
publishDate	2019
allfields	10.1016/j.fss.2018.11.012 doi GBV00000000000783.pica (DE-627)ELV04822250X (ELSEVIER)S0165-0114(18)30921-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Wu, Nannan verfasserin aut The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations 2019transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Stability definitions Elsevier The graph model for conflict resolution Elsevier Incomplete fuzzy reciprocal preferences relations Elsevier Water export conflict Elsevier Xu, Yejun oth Hipel, Keith W. oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:377 year:2019 day:15 month:12 pages:52-70 extent:19 https://doi.org/10.1016/j.fss.2018.11.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 377 2019 15 1215 52-70 19
spelling	10.1016/j.fss.2018.11.012 doi GBV00000000000783.pica (DE-627)ELV04822250X (ELSEVIER)S0165-0114(18)30921-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Wu, Nannan verfasserin aut The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations 2019transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Stability definitions Elsevier The graph model for conflict resolution Elsevier Incomplete fuzzy reciprocal preferences relations Elsevier Water export conflict Elsevier Xu, Yejun oth Hipel, Keith W. oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:377 year:2019 day:15 month:12 pages:52-70 extent:19 https://doi.org/10.1016/j.fss.2018.11.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 377 2019 15 1215 52-70 19
allfields_unstemmed	10.1016/j.fss.2018.11.012 doi GBV00000000000783.pica (DE-627)ELV04822250X (ELSEVIER)S0165-0114(18)30921-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Wu, Nannan verfasserin aut The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations 2019transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Stability definitions Elsevier The graph model for conflict resolution Elsevier Incomplete fuzzy reciprocal preferences relations Elsevier Water export conflict Elsevier Xu, Yejun oth Hipel, Keith W. oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:377 year:2019 day:15 month:12 pages:52-70 extent:19 https://doi.org/10.1016/j.fss.2018.11.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 377 2019 15 1215 52-70 19
allfieldsGer	10.1016/j.fss.2018.11.012 doi GBV00000000000783.pica (DE-627)ELV04822250X (ELSEVIER)S0165-0114(18)30921-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Wu, Nannan verfasserin aut The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations 2019transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Stability definitions Elsevier The graph model for conflict resolution Elsevier Incomplete fuzzy reciprocal preferences relations Elsevier Water export conflict Elsevier Xu, Yejun oth Hipel, Keith W. oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:377 year:2019 day:15 month:12 pages:52-70 extent:19 https://doi.org/10.1016/j.fss.2018.11.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 377 2019 15 1215 52-70 19
allfieldsSound	10.1016/j.fss.2018.11.012 doi GBV00000000000783.pica (DE-627)ELV04822250X (ELSEVIER)S0165-0114(18)30921-7 DE-627 ger DE-627 rakwb eng 610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl Wu, Nannan verfasserin aut The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations 2019transfer abstract 19 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations. Stability definitions Elsevier The graph model for conflict resolution Elsevier Incomplete fuzzy reciprocal preferences relations Elsevier Water export conflict Elsevier Xu, Yejun oth Hipel, Keith W. oth Enthalten in Elsevier Polizzi, P. ELSEVIER Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species 2017transfer abstract [S.l.] (DE-627)ELV020637101 volume:377 year:2019 day:15 month:12 pages:52-70 extent:19 https://doi.org/10.1016/j.fss.2018.11.012 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-PHARM SSG-OLC-PHA SSG-OPC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_21 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_30 GBV_ILN_31 GBV_ILN_32 GBV_ILN_34 GBV_ILN_50 GBV_ILN_55 GBV_ILN_60 GBV_ILN_61 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_70 GBV_ILN_72 GBV_ILN_74 GBV_ILN_90 GBV_ILN_92 GBV_ILN_104 GBV_ILN_105 GBV_ILN_120 GBV_ILN_121 GBV_ILN_122 GBV_ILN_130 GBV_ILN_131 GBV_ILN_147 GBV_ILN_160 GBV_ILN_179 GBV_ILN_181 GBV_ILN_276 GBV_ILN_737 GBV_ILN_754 GBV_ILN_812 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2023 GBV_ILN_2024 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2032 GBV_ILN_2033 GBV_ILN_2035 GBV_ILN_2040 GBV_ILN_2043 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2065 GBV_ILN_2084 GBV_ILN_2121 GBV_ILN_2227 GBV_ILN_2502 GBV_ILN_2505 GBV_ILN_2508 44.40 Pharmazie Pharmazeutika VZ AR 377 2019 15 1215 52-70 19
language	English
source	Enthalten in Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species [S.l.] volume:377 year:2019 day:15 month:12 pages:52-70 extent:19
sourceStr	Enthalten in Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species [S.l.] volume:377 year:2019 day:15 month:12 pages:52-70 extent:19
format_phy_str_mv	Article
bklname	Pharmazie Pharmazeutika
institution	findex.gbv.de
topic_facet	Stability definitions The graph model for conflict resolution Incomplete fuzzy reciprocal preferences relations Water export conflict
dewey-raw	610
isfreeaccess_bool	false
container_title	Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species
authorswithroles_txt_mv	Wu, Nannan @@aut@@ Xu, Yejun @@oth@@ Hipel, Keith W. @@oth@@
publishDateDaySort_date	2019-01-15T00:00:00Z
hierarchy_top_id	ELV020637101
dewey-sort	3610
id	ELV04822250X
language_de	englisch
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author	Wu, Nannan
spellingShingle	Wu, Nannan ddc 610 ssgn 15,3 fid PHARM bkl 44.40 Elsevier Stability definitions Elsevier The graph model for conflict resolution Elsevier Incomplete fuzzy reciprocal preferences relations Elsevier Water export conflict The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations
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topic_title	610 VZ 15,3 ssgn PHARM DE-84 fid 44.40 bkl The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations Stability definitions Elsevier The graph model for conflict resolution Elsevier Incomplete fuzzy reciprocal preferences relations Elsevier Water export conflict Elsevier
topic	ddc 610 ssgn 15,3 fid PHARM bkl 44.40 Elsevier Stability definitions Elsevier The graph model for conflict resolution Elsevier Incomplete fuzzy reciprocal preferences relations Elsevier Water export conflict
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hierarchy_parent_title	Blood cadmium and metallothionein concentrations in females of two sympatric pinnipeds species
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title	The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations
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title_full	The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations
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title_sort	graph model for conflict resolution with incomplete fuzzy reciprocal preference relations
title_auth	The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations
abstract	Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations.
abstractGer	Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations.
abstract_unstemmed	Within the paradigm of the Graph Model for Conflict Resolution (GMCR), fuzzy reciprocal preference relations (FPRs) can be usually employed to handle decision makers' (DMs') certain and uncertain preferences. Due to lack of time, limited expertise, or dynamic factors, the DMs' fuzzy preferences over the alternatives or states may be incomplete. Thus, a new preference relation, the incomplete fuzzy reciprocal preference relation (IFPR), is proposed to deal with both complete and incomplete fuzzy preferences within GMCR. In this study, one key contribution is that, according to DMs' attitude to risk associated with incomplete fuzzy preferences, four extended sets of stability definitions are put forward for providing a nuanced description of human behavior for both two-DM and n-DM conflict models. Furthermore, the interrelationships of solution concepts within and across the four extensions of stability definitions are investigated. Finally, an illustrative example, the potential large-scale export of water from Lake Gisborne, Canada, is used to show the usefulness of GMCR with incomplete fuzzy reciprocal preference relations.
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title_short	The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations
url	https://doi.org/10.1016/j.fss.2018.11.012
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The graph model for conflict resolution with incomplete fuzzy reciprocal preference relations

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