Results 81 to 90 of about 10,327,265 (301)
Decision Tree Algorithm based on Granular Computing and Important Degree of Attribute Value
Conventional decision tree algorithm employs information gain and information gain ratio to select splitting attribute, and avoid attribute value significance.
P. Liu +4 more
doaj +1 more source
This paper presents a new method for multiple person multiple attribute decision making (MADM) based on decision makers' subjective preference information on alternatives and objective decision matrix.
Duanning Zhou +3 more
core
As an enhanced version of traditional linguistic term sets, Probabilistic Linguistic Term Sets (PLTS) incorporate probabilistic information, thereby offering a more robust approach to Multiple Attribute Group Decision-Making (MAGDM) and significantly ...
Xin Liang, Weijia Kang, Yan Peng
core +1 more source
Structure‐forward targeting of claudins with synthetic binders
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Dombi Aggregation Operators of Linguistic Cubic Variables for Multiple Attribute Decision Making
A linguistic cubic variable (LCV) is comprised of interval linguistic variable and single-valued linguistic variable. An LCV contains decision-makers’ uncertain and certain linguistic judgments simultaneously.
Xueping Lu, Jun Ye
doaj +1 more source
Multiple criteria decision making
817 p., fig., ref. bib. : 17 p.1/2This volume is the direct result of a seminar on Multiple Criteria Decision Making held at the University of South Carolina on October 26-27, 1972. Support for this seminar and for production of this book was provided by
ZELENY, Milan, COCHRANE, James L.
core
A Combined Weighting Model Based on Maximizing Deviation for Multiple Attribute Decision-Making
Multiattribute decision-making is an important part of decision-making theory and modern scientific decision-making. It is widely used in engineering design, economic management, and so on.
Xin Wang, Lei Zhang
core +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
TODIM Method for Picture Fuzzy Multiple Attribute Decision Making
Summary: For this article, we shall expand the TODIM model to the MADM with the picture fuzzy numbers (PFNs). Firstly, the concept, comparative method and distance of PFNs are introduced and the traditional TODIM model is presented. Then, the expanded TODIM model is developed to solve MADM problems with PFNs.
openaire +3 more sources
Fuzzy Decision Making Via Multiple Attribute
{"references": ["S. Abbasbandy, B. Asady ,\"Ranking of fuzzy numbers by sign\ndistance,\" Information Science. 176 .2405-2416 , 2006.", "A. Azar, Fuzzy management science; IMPSC publication , Iran, 2008, pp 238-358.", "C. A. Bana ,P. vincle, \"Multiple Criteria Decision Aid: an overview,\", Readings in Multiple Criteria Decision Aid , Springer Verlag ,
Behnaz Zohouri +2 more
openaire +2 more sources

