標(biāo)題: Titlebook: Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets; Shuping Wan,Jiuying Dong Book 2020 Springer Natur [打印本頁(yè)] 作者: 鳴叫大步走 時(shí)間: 2025-3-21 19:09
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets影響因子(影響力)
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets影響因子(影響力)學(xué)科排名
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets網(wǎng)絡(luò)公開度
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets被引頻次
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets被引頻次學(xué)科排名
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets年度引用
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets年度引用學(xué)科排名
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets讀者反饋
書目名稱Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets讀者反饋學(xué)科排名
作者: 鞭打 時(shí)間: 2025-3-21 22:31 作者: 機(jī)構(gòu) 時(shí)間: 2025-3-22 02:17
Interval-Valued Intuitionistic Fuzzy Mathematical Programming Method for Hybrid Multi-criteria Grouplications. The purpose of this chapter is to develop a novel interval-valued intuitionistic fuzzy (IVIF) mathematical programming method for hybrid MCGDM considering alternative comparisons with hesitancy degrees. The subjective preference relations between alternatives given by each decision maker作者: 知識(shí)分子 時(shí)間: 2025-3-22 07:47
A Selection Method Based on MAGDM with Interval-Valued Intuitionistic Fuzzy Sets,lity and react faster to market demands. In the cloud service selection, several experts may be invited and many attributes (indicators or goals) should be considered. Therefore, the cloud service selection can be regarded as a kind of Multi-attribute group decision making (MAGDM) problems. This cha作者: neutrophils 時(shí)間: 2025-3-22 09:05
Aggregating Decision Information into Interval-Valued Intuitionistic Fuzzy Numbers for Heterogeneoueen proposed for various MAGDM problems, nevertheless, very few studies?focus on the aggregation techniques of intuitionistic fuzzy information. The aim of this chapter is to aggregate decision information into interval-valued intuitionistic fuzzy numbers (IVIFNs) to solve heterogeneous MAGDM proble作者: Vaginismus 時(shí)間: 2025-3-22 15:24
A Novel Method for Group Decision Making with Interval-Valued Atanassov Intuitionistic Fuzzy Prefer) and develops a novel method for solving such problems. A new consistency index of an Atanassov intuitionistic fuzzy preference relation (AIFPR) is introduced to judge the consistency of an AIFPR and then a convergent iterative Algorithm I is designed to repair the consistency of an AIFPR with unac作者: Vaginismus 時(shí)間: 2025-3-22 19:00
Additive Consistent Interval-Valued Atanassov Intuitionistic Fuzzy Preference Relation and Likelihoference relations (IVAIFPRs) and likelihood comparison algorithm. Firstly, the likelihood of IVAIF values (IVAIFVs) is defined by the likelihood of intervals. Then a likelihood comparison algorithm is designed to rank IVAIFVs. According to the additive consistent interval fuzzy preference relation, 作者: CROW 時(shí)間: 2025-3-23 01:17
A Group Decision-Making Method Considering Both the Group Consensus and Multiplicative Consistency stic fuzzy (IVIF) preference relations (IVIFPRs). First, the mean and variance of IVIF values (IVIFVs) are defined and a ranking method for IVIFVs is proposed considering the risk attitude of the expert. Then, the group consensus is presented by the individual similarity between experts. An iteratio作者: elucidate 時(shí)間: 2025-3-23 02:43
A Possibility Degree Method for Interval-Valued Intuitionistic Fuzzy Multi-attribute Group Decisiongrated by using the hybrid weighted average operator of IVIFNs. The ranking orders of alternatives are generated according to the collective overall attribute values. A numerical example is examined to illustrate the proposed method and the comparison analysis demonstrates the effectiveness and flex作者: 抱負(fù) 時(shí)間: 2025-3-23 08:36
,A New Method for Atanassov’s Interval-Valued Intuitionistic Fuzzy MAGDM with Incomplete Attribute Wctively, we construct a multi-objective interval-programming model that is solved by transforming it into a linear program. The ranking order of alternatives is generated by the comprehensive interval values of alternatives. Finally, an example of a research and development (R & D) project selection作者: pulmonary-edema 時(shí)間: 2025-3-23 09:49
Interval-Valued Intuitionistic Fuzzy Mathematical Programming Method for Hybrid Multi-criteria Grouhe criteria weights, we construct a novel bi-objective IVIF mathematical programming model of minimizing the inconsistency index and meanwhile maximizing the consistency index, which is solved by the technically developed linear goal programming approach. The individual ranking order of alternatives作者: aesthetic 時(shí)間: 2025-3-23 17:46
A Selection Method Based on MAGDM with Interval-Valued Intuitionistic Fuzzy Sets,the collective decision matrix obtained by aggregating the individual matrices, the score (profit) matrix, accuracy matrix and uncertainty (risk) matrix are derived. A multi-objective programming model is constructed to determine the attribute weights. Subsequently, the alternatives are ranked by em作者: 歌唱隊(duì) 時(shí)間: 2025-3-23 21:43 作者: Brocas-Area 時(shí)間: 2025-3-24 00:56 作者: 纖細(xì) 時(shí)間: 2025-3-24 04:56
Additive Consistent Interval-Valued Atanassov Intuitionistic Fuzzy Preference Relation and Likelihoed by the distances between the individual IVAIFPRs and the collective one. To derive decision makers’ weights, an optimization model is constructed by maximizing the group consensus and transformed into a linear programming model to resolve. Subsequently, utilizing the IVAIF weighted averaging oper作者: lanugo 時(shí)間: 2025-3-24 09:44
A Group Decision-Making Method Considering Both the Group Consensus and Multiplicative Consistency e feasible domains of these two models are empty, two adjusted programming models are constructed to replace the originals. Combining the most optimistic and pessimistic interval priority weights, the IVIF priority weights are generated. Further, expert weights are derived from Markov model and used作者: MOAT 時(shí)間: 2025-3-24 14:08
Daniel Pop,Gabriel Iuhasz,Dana Petcugrated by using the hybrid weighted average operator of IVIFNs. The ranking orders of alternatives are generated according to the collective overall attribute values. A numerical example is examined to illustrate the proposed method and the comparison analysis demonstrates the effectiveness and flex作者: Observe 時(shí)間: 2025-3-24 14:49 作者: JOT 時(shí)間: 2025-3-24 21:30 作者: 記成螞蟻 時(shí)間: 2025-3-25 00:52
https://doi.org/10.1007/978-3-319-53474-9the collective decision matrix obtained by aggregating the individual matrices, the score (profit) matrix, accuracy matrix and uncertainty (risk) matrix are derived. A multi-objective programming model is constructed to determine the attribute weights. Subsequently, the alternatives are ranked by em作者: aristocracy 時(shí)間: 2025-3-25 05:33
Data Science and Classificatione second is to construct a multiple objective intuitionistic fuzzy programming model to determine the attribute weights. Borrowing the results of the former two issues, the last is to present a new method to solve heterogeneous MAGDM problem. A comparison analysis with existing method is conducted t作者: Dictation 時(shí)間: 2025-3-25 07:41 作者: amnesia 時(shí)間: 2025-3-25 14:59
Marie Chavent,Yves Lechevalliered by the distances between the individual IVAIFPRs and the collective one. To derive decision makers’ weights, an optimization model is constructed by maximizing the group consensus and transformed into a linear programming model to resolve. Subsequently, utilizing the IVAIF weighted averaging oper作者: Obligatory 時(shí)間: 2025-3-25 19:13
P. Raghu Vamsi,Aamir Ahmad,Vivek Dwivedie feasible domains of these two models are empty, two adjusted programming models are constructed to replace the originals. Combining the most optimistic and pessimistic interval priority weights, the IVIF priority weights are generated. Further, expert weights are derived from Markov model and used作者: 單調(diào)性 時(shí)間: 2025-3-25 23:43 作者: 啞劇 時(shí)間: 2025-3-26 03:54 作者: debouch 時(shí)間: 2025-3-26 07:42
Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets978-981-15-1521-7作者: 手術(shù)刀 時(shí)間: 2025-3-26 10:13
Daniel Pop,Gabriel Iuhasz,Dana Petcu the interval-valued intuitionistic fuzzy decision making. From a viewpoint of probability, the possibility degree of comparison between two interval-valued intuitionistic fuzzy numbers (IVIFNs) is defined by using the notion of 2-dimensional random vector, and a new method is then developed to rank作者: grovel 時(shí)間: 2025-3-26 15:35 作者: VEN 時(shí)間: 2025-3-26 18:51
Sachin Subhash Patil,Shefali Pratap Sonavaneplications. The purpose of this chapter is to develop a novel interval-valued intuitionistic fuzzy (IVIF) mathematical programming method for hybrid MCGDM considering alternative comparisons with hesitancy degrees. The subjective preference relations between alternatives given by each decision maker作者: 易于 時(shí)間: 2025-3-27 00:31 作者: 無(wú)效 時(shí)間: 2025-3-27 04:01 作者: Accord 時(shí)間: 2025-3-27 09:04 作者: 生氣地 時(shí)間: 2025-3-27 10:14
Marie Chavent,Yves Lechevallierference relations (IVAIFPRs) and likelihood comparison algorithm. Firstly, the likelihood of IVAIF values (IVAIFVs) is defined by the likelihood of intervals. Then a likelihood comparison algorithm is designed to rank IVAIFVs. According to the additive consistent interval fuzzy preference relation, 作者: 分散 時(shí)間: 2025-3-27 15:45
P. Raghu Vamsi,Aamir Ahmad,Vivek Dwivedistic fuzzy (IVIF) preference relations (IVIFPRs). First, the mean and variance of IVIF values (IVIFVs) are defined and a ranking method for IVIFVs is proposed considering the risk attitude of the expert. Then, the group consensus is presented by the individual similarity between experts. An iteratio作者: critique 時(shí)間: 2025-3-27 18:23 作者: 斜坡 時(shí)間: 2025-3-28 00:16 作者: 寬容 時(shí)間: 2025-3-28 02:13 作者: 廣口瓶 時(shí)間: 2025-3-28 07:17 作者: 宴會(huì) 時(shí)間: 2025-3-28 13:06 作者: 顯而易見 時(shí)間: 2025-3-28 17:12
Book 2020 research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis..作者: 無(wú)彈性 時(shí)間: 2025-3-28 22:41
s with tables and figures and presenting the authors’ latest research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis..978-981-15-1523-1978-981-15-1521-7
