標題: Titlebook: Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations; Theories and Methodo Yejun Xu Book 2023 The Editor(s) (if applic [打印本頁] 作者: DUMMY 時間: 2025-3-21 18:02
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations影響因子(影響力)
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations影響因子(影響力)學(xué)科排名
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations網(wǎng)絡(luò)公開度
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations被引頻次
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations被引頻次學(xué)科排名
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations年度引用
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations年度引用學(xué)科排名
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations讀者反饋
書目名稱Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations讀者反饋學(xué)科排名
作者: 費解 時間: 2025-3-21 23:02
Deriving Priorities from Incomplete Fuzzy Reciprocal Preference RelationsTheories and Methodo作者: Host142 時間: 2025-3-22 03:19 作者: 咽下 時間: 2025-3-22 05:58 作者: 沒血色 時間: 2025-3-22 10:21
nsistency and multiplicative consistency. Then, the relationships between the fuzzy reciprocal elements and the weights are showed. Afterward, in the second part, different priority methods are presented. The i978-981-99-3171-2978-981-99-3169-9作者: noxious 時間: 2025-3-22 16:25
Priorities from Fuzzy Best-Worst Method Matrix,). On the other hand, BWM has been further extended to combine with other types of fuzzy sets. Recently, Xu et al. (2021) proposed the fuzzy BWM (FBWM), which incorporates the fuzzy preference into BWM.作者: noxious 時間: 2025-3-22 17:43
Tiago Geraldo,Nuno Igreja Matos). On the other hand, BWM has been further extended to combine with other types of fuzzy sets. Recently, Xu et al. (2021) proposed the fuzzy BWM (FBWM), which incorporates the fuzzy preference into BWM.作者: HUSH 時間: 2025-3-22 22:20
Book 2023 derive its priority from pairwise comparisons. It has been proposed many methods to derive priority for multiplicative preference relation. On the basis of fuzzy sets, the fuzzy reciprocal preference relation is proposed and is extended to the incomplete contexts. However, how to derive the priorit作者: 一條卷發(fā) 時間: 2025-3-23 01:47 作者: 委托 時間: 2025-3-23 06:57
https://doi.org/10.1007/978-981-99-3169-9Hesitant fuzzy preference relation; Ranking; Fuzzy preference relation; Incomplete fuzzy preference rel作者: 漫不經(jīng)心 時間: 2025-3-23 13:21 作者: MUT 時間: 2025-3-23 16:18 作者: RACE 時間: 2025-3-23 20:26
Fair Trial and Judicial Independence, and it is described in Eq. (.). In this chapter, we further investigate the parameter . and call it normalizing rank aggregation-based method when .?=?./2 or .?=?(.???1)/2. Additionally, we will show that it is more reasonable when .?=?./2 or .?=?(.???1)/2 than .?=?0.5, which is extensively used in the existing literatures.作者: Albinism 時間: 2025-3-23 23:55 作者: BLA 時間: 2025-3-24 03:36 作者: 遭遇 時間: 2025-3-24 07:55 作者: Picks-Disease 時間: 2025-3-24 14:13 作者: 箴言 時間: 2025-3-24 18:22
óscar Espinoza,Luis Eduardo Gonzáleztiplicative preference relation, which was proposed by Saaty (1980). Lipovetsky and Conklin (2002) and Wang and Parkan (2005) investigated the eigenvector problem for complete fuzzy reciprocal preference relation. In the following, we show that the EM can also be used to derive the weights for incom作者: Lime石灰 時間: 2025-3-24 22:01 作者: 下邊深陷 時間: 2025-3-25 00:02 作者: Graphite 時間: 2025-3-25 03:57 作者: 賞心悅目 時間: 2025-3-25 08:44
Normalizing Rank Aggregation-Based Method,, and it is described in Eq. (.). In this chapter, we further investigate the parameter . and call it normalizing rank aggregation-based method when .?=?./2 or .?=?(.???1)/2. Additionally, we will show that it is more reasonable when .?=?./2 or .?=?(.???1)/2 than .?=?0.5, which is extensively used in the existing literatures.作者: Mitigate 時間: 2025-3-25 15:04
Eigenvector Method,tiplicative preference relation, which was proposed by Saaty (1980). Lipovetsky and Conklin (2002) and Wang and Parkan (2005) investigated the eigenvector problem for complete fuzzy reciprocal preference relation. In the following, we show that the EM can also be used to derive the weights for incomplete fuzzy reciprocal preference relation.作者: myriad 時間: 2025-3-25 17:28 作者: 暴行 時間: 2025-3-25 23:45 作者: Mechanics 時間: 2025-3-26 03:44 作者: NORM 時間: 2025-3-26 06:54 作者: largesse 時間: 2025-3-26 08:46
The Finnish Model of Higher Education AccessIn this chapter, we propose another method called least deviation method (LDM).作者: 跑過 時間: 2025-3-26 14:23 作者: Debate 時間: 2025-3-26 20:16
Tiago Geraldo,Nuno Igreja MatosIn the former chapters, we have introduced several priority methods for incomplete fuzzy reciprocal preference relations. In this chapter, we introduce another preference relation called hesitant fuzzy reciprocal preference relation and present how to derive the priority weights from incomplete hesitant fuzzy reciprocal preference relations.作者: MUMP 時間: 2025-3-27 00:54
A Chi-Square Method,In Sect. ., we have described the group decision-making problems with incomplete fuzzy reciprocal preference relations, where the relationship between the elements . and weights .(.?∈?.) should satisfy Eq. (.). In the following, we propose another method called chi-square method.作者: Intractable 時間: 2025-3-27 02:32
A Least Deviation Method,In this chapter, we propose another method called least deviation method (LDM).作者: dictator 時間: 2025-3-27 06:52
Weighted Least Square Method,In this chapter, we propose a method called weighted least square method (WLSM) for priority of an incomplete fuzzy reciprocal preference relation (Xu & Da, 2008). It is similar with Gong (2008)’s least square method.作者: 虛構(gòu)的東西 時間: 2025-3-27 12:54
Priorities from Incomplete Hesitant Fuzzy Reciprocal Preference Relations,In the former chapters, we have introduced several priority methods for incomplete fuzzy reciprocal preference relations. In this chapter, we introduce another preference relation called hesitant fuzzy reciprocal preference relation and present how to derive the priority weights from incomplete hesitant fuzzy reciprocal preference relations.作者: Legion 時間: 2025-3-27 16:33 作者: 食料 時間: 2025-3-27 19:14
Normalizing Rank Aggregation-Based Method,, and it is described in Eq. (.). In this chapter, we further investigate the parameter . and call it normalizing rank aggregation-based method when .?=?./2 or .?=?(.???1)/2. Additionally, we will show that it is more reasonable when .?=?./2 or .?=?(.???1)/2 than .?=?0.5, which is extensively used i作者: 排斥 時間: 2025-3-27 23:34 作者: Euthyroid 時間: 2025-3-28 05:59 作者: ALLAY 時間: 2025-3-28 06:52 作者: GRILL 時間: 2025-3-28 11:33 作者: 運動性 時間: 2025-3-28 16:51 作者: commonsense 時間: 2025-3-28 22:29 作者: 挖掘 時間: 2025-3-29 01:11
Liliana Velásquez in Greek), these visions can be an inspiration for quite practical activities on the ground, as steps towards their realization. As Wilde notes (in the quote above) this is a never-ending quest, as with each achievement, we recognize that there are further 978-1-4471-5821-9978-1-84800-350-7Series ISSN 1571-5035 Series E-ISSN 2524-4477 作者: Antimicrobial 時間: 2025-3-29 04:43 作者: Licentious 時間: 2025-3-29 07:53 作者: 燦爛 時間: 2025-3-29 13:30
