DESIGN AND IMPLEMENTATION OF CONSENSUS DECISION SUPPORT STRATEGIES

Bikash Bepari

ISBN 10: 6204986813 / ISBN 13: 9786204986814

Published by LAP LAMBERT Academic Publishing Dez 2024, 2024

About this Item

Neuware -Literature survey reveals the intervention of peer decision maker in dictating the weights of individual decision maker during group decision making which is not accepted because of biasness. To mitigate this problem the present work includes the following objectives which are as follows:i. Introduction of Holonic approach in consensus decision making by graph theorynetwork after adjudging the pair wise consensus map.ii. To announce aggregate rank for the situations when different decision maker provides poles apart decisions to the group decision maker. In this pursuit, the authors made an attempt by introducing averaging function and proximity index based on correlation map to find the weights of the decision maker.iii. Introduction of Euclidean distance based rank aggregation technique in group decision making.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch.

Seller Inventory # 9786204986814

Bibliographic Details

• Title: DESIGN AND IMPLEMENTATION OF CONSENSUS DECISION SUPPORT STRATEGIES
• Publisher: LAP LAMBERT Academic Publishing Dez 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 6204986813
• ISBN 13: 9786204986814
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 131 grams

About this title

Synopsis

Literature survey reveals the intervention of peer decision maker in dictating the weights of individual decision maker during group decision making which is not accepted because of biasness. To mitigate this problem the present work includes the following objectives which are as follows: i. Introduction of Holonic approach in consensus decision making by graph theorynetwork after adjudging the pair wise consensus map.ii. To announce aggregate rank for the situations when different decision maker provides poles apart decisions to the group decision maker. In this pursuit, the authors made an attempt by introducing averaging function and proximity index based on correlation map to find the weights of the decision maker.iii. Introduction of Euclidean distance based rank aggregation technique in group decision making.