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Belief and Possibility Belief Interval-Valued N-Soft Set and Their Applications in Multi-Attribute Decision-Making Problems

Shahbaz Ali, Muneeba Kousar, Qin Xin, Dragan Pamučar, Muhammad Shazib Hameed, Rabia Fayyaz
2021 Entropy  
In this regard, we extend the concept of belief interval-valued soft set to possibility belief interval-valued N-soft set (by accumulating possibility and belief interval with N-soft set), and we also  ...  To this objective, we defined related theoretical notions, for example, belief interval-valued N-soft set, possibility belief interval-valued N-soft set, their algebraic operations, and examined some of  ...  Dinda [23] introduced the generalized intuitionistic fuzzy soft sets, belief interval-valued soft sets [24] , generalized belief interval-valued soft sets [25] , interval-valued intuitionistic fuzzy  ... 
doi:10.3390/e23111498 pmid:34828200 pmcid:PMC8617945 fatcat:avhhwni77bap3fzmxijqfugpzm

Distance Based Similarity Measures For Interval-Valued Intuitionistic Fuzzy Soft Sets And Its Application

Anjan Mukherjee, Sadhan Sarkar
2015 Zenodo  
In this article we have introduced the concept of similarity measure for interval-valued intuitionistic fuzzy soft sets based on distance between two interval-valued intuitionistic fuzzy soft sets, some  ...  An algorithm is developed in intuitionistic fuzzy soft set setting for a decision making method.  ...  sets( interval-valued fuzzy sets, interval-valued fuzzy soft sets, intuitionistic fuzzy sets, intuitionistic fuzzy soft sets, interval-valued intuitionistic fuzzy sets, interval-valued intuitionistic fuzzy  ... 
doi:10.5281/zenodo.32251 fatcat:5mos3pr535acxlsviflzh3tydu

Several Similarity Measures Of Interval Valued Neutrosophic Soft Sets And Their Application In Pattern Recognition Problems

Anjan Mukherje, Sadhan Sarkar
2015 Zenodo  
Interval valued neutrosophic soft set introduced by Irfan Deli in 2014 is a generalization of neutrosophic set introduced by F.  ...  In this paper the Hamming and Euclidean distances between two interval valued neutrosophic soft sets (IVNS sets) are defined and similarity measures based on distances between two interval valued neutrosophic  ...  Maji in 2013 introduced neutrosophic soft set [15] and Irfan Deli in 2014 introduced the concept of interval valued neutrosophic soft sets [8] .  ... 
doi:10.5281/zenodo.22641 fatcat:o6engau2ibgiddyyijxlxnlutu

A Group Decision Making Method Based on Dempster-Shafer Fuzzy Soft Sets Under Incomplete Information

Yuanxiang Dong, Zhi Xiao
2015 International Journal of Hybrid Information Technology  
Zhang, et al., [22] defined the concept of the interval-valued intuitionistic fuzzy soft set and the weighted intervalvalued intuitionistic fuzzy soft set and apply them to decision making.  ...  ⓒ 2015 SERSC decision making under interval type-2 fuzzy environment.  ...  Each fuzzy soft set can be considered as an fuzzy information system, in which each value domain of attribute r v is a quantity in the unit interval [0, 1].  ... 
doi:10.14257/ijhit.2015.8.3.25 fatcat:gqhvx3b7mzbptas23avxhpqpsu

Interval Neutrosophic Sets and Logic: Theory and Applications in Computing

Haibin Wang, Florentin Smarandache, Yan-Qing Zhang, Rajshekhar Sunderraman
2018 Figshare  
In this chapter, the definition of interval neutrosophic sets and set-theoretic operators are given and various properties of interval neutrosophic set are proved.  ...  Chapter 1 first introduces the interval neutrosophic sets which is an instance of neutrosophic sets.  ...  The interval neutrosophic set is a generalization of classic set, fuzzy set, interval valued fuzzy set, intuitionistic fuzzy sets, interval valued intuitionistic fuzzy set, interval type-2 fuzzy set [  ... 
doi:10.6084/m9.figshare.6199013.v1 fatcat:lrbccuyk3fcbjct44ewp6q2cjm

Relations Between Interval Computing and Soft Computing [chapter]

Vladik Kreinovich
2008 Knowledge Processing with Interval and Soft Computing  
Some examples of such a relation were already given in Chapter 2 -e.g., interval-valued fuzzy sets. Now it is time to provide a systematic description of this relation.  ...  This volume is about knowledge processing with interval and soft computing, i.e., about techniques that use both interval and soft computing to process knowledge and about the results of applying these  ...  Auxiliary Relation between Interval Computing and Soft Computing: Interval-Valued Fuzzy Techniques Intervals are Necessary to Describe Degrees of Belief Above, we described an idealized situation, in  ... 
doi:10.1007/978-1-84800-326-2_3 fatcat:zd7xrresrvfiblzhovimiqrz54

Interval Neutrosophic Sets and Logic: Theory and Applications in Computing [article]

Haibin Wang, Florentin Smarandache, Yan-Qing Zhang, Rajshekhar Sunderraman
2005 arXiv   pre-print
In this chapter, the definition of interval neutrosophic sets and set-theoretic operators are given and various properties of interval neutrosophic set are proved.  ...  The intelligent inference engine module of soft Semantic Web Services agent is implemented using interval neutrosophic logic.  ...  The interval neutrosophic set is a generalization of classic set, fuzzy set, interval valued fuzzy set, intuitionistic fuzzy sets, interval valued intuitionistic fuzzy set, interval type-2 fuzzy set [  ... 
arXiv:cs/0505014v1 fatcat:w3jkacoa7vbahbxslbmdgykqpu

Black-Scholes Fuzzy Numbers as Indexes of Performance

M. R. Simonelli
2010 Applied Computational Intelligence and Soft Computing  
We use the set of propositions of some previous papers to define a fuzzy version of the Black-Scholes value where the risk free instantaneous interest intensity, the volatility and the initial stock price  ...  Obviously, the parameters of our Black-Scholes fuzzy numbers can be valued also with incomplete, possibilistic data.  ...  The MIB30 is an index of the Italian Stock Exchange so the max of these intervals are indexes of optimistic performance, but the minimum of these B-S intervals are indexes of pessimistic performance on  ... 
doi:10.1155/2010/607214 fatcat:5mwbrbwlwbhi5c67kzijhyrgp4

Interval Neutrosophic Sets and Logic: Theory and Applications in Computing

Haibin Wang, Florentin Smarandache, Yan-Qing Zhang, Rajshekhar Sunderraman
2018 Figshare  
In this chapter, the definition of interval neutrosophic sets and set-theoretic operators are given and various properties of interval neutrosophic set are proved.  ...  Chapter 1 first introduces the interval neutrosophic sets which is an instance of neutrosophic sets.  ...  The interval neutrosophic set is a generalization of classic set, fuzzy set, interval valued fuzzy set, intuitionistic fuzzy sets, interval valued intuitionistic fuzzy set, interval type-2 fuzzy set [  ... 
doi:10.6084/m9.figshare.6199013 fatcat:t3liowfun5dwxd3tdvcdl4ha7e

Simulating human decision making for testing soft and hard/soft fusion algorithms

Donald J. Bucci, Sayandeep Acharya, Moshe Kam
2013 2013 47th Annual Conference on Information Sciences and Systems (CISS)  
To facilitate studies of data fusion architectures which integrate "soft" humangenerated decisions, we have used a simulator of subjective beliefs.  ...  We use this scheme to simulate human opinions and combine them using belief fusion methods, including Bayes' Rule; Dempster's Rule of Combination (DRC); Yager's rule; the Proportional Conflict Redistribution  ...  This relationship leads to a set of intervals [Bel(A), Pl(A)] for every A ⊆ Ω.  ... 
doi:10.1109/ciss.2013.6552278 dblp:conf/ciss/BucciAK13 fatcat:6yjbomugzbcelirbzi27p252dm

Nature of Academic Programs, Epistemological Beliefs and Their Impact on Pakistani University Students' Academic Performance

Rafaquat Ali, Bushra Shoukat, Rabia Bahoo
2021 Review of Education, Administration & LAW  
The Business Sciences from the soft applied field of study had the least noticeable negative impact on naive epistemological beliefs compared to other subjects of pure soft and pure hard field of studies  ...  The impact of subjects of the soft field of study such as Behavioural Sciences, English Literature was negative on naive epistemological beliefs in knowledge structure and omniscient authority compared  ...  However, using both p-values and confidence intervals is suggested for better decisions in hypothesis testing because both p-values and confidence intervals complement each other (du Prel et al., 2009  ... 
doi:10.47067/real.v4i4.197 fatcat:yygbwexmcngsxbompmcenocrtu

Modified Min Sum Decoding Algorithm for Low Density Parity Check Codes

J Shrinidhi, P. Sri Krishna, Yamuna B, Pargunarajan K.
2020 Procedia Computer Science  
For higher values of SNR, it outperforms MSA with a gain of 1.75 dB while providing an acceptable performance degradation with respect to SPA.  ...  Simulation results with these estimated parameters show that for low values of SNR, the modified algorithm outperforms MSA and provides performance close to that of SPA with a gain of 0.1 dB.  ...  Algorithms such as Belief Propagation Algorithm (BPA), also known as Sum Product Algorithm (SPA), Log Belief Propagation Algorithm (Log-BPA) and Min Sum Algorithm (MSA) are soft decision decoding algorithms  ... 
doi:10.1016/j.procs.2020.04.230 fatcat:oxg6gxwnivaorm4mkbpavgoiu4

Soft Evidential Update via Markov Chain Monte Carlo Inference [chapter]

Dominik Jain, Michael Beetz
2010 Lecture Notes in Computer Science  
to (soft) degrees of belief rather than hard logical facts.  ...  So far, methods for updating beliefs in the light of soft evidence have been centred around the iterative proportional fitting procedure and variations thereof.  ...  For each MRF, we randomly chose N/2 variables as the set X E of (soft) evidence variables, sampling beliefs uniformly from [0, 1].  ... 
doi:10.1007/978-3-642-16111-7_32 fatcat:tpht4i47brd5dlfvrwaxoy3ovi

Assessing The Performance Of Data Fusion Algorithms Using Human Response Models

Donald J. Bucci
2015 Zenodo  
., \soft" data) alongside readings from various sensors that use mechanical, electromagnetic, optical, and acoustic transducers (i.e., \hard" data).  ...  One of the major challenges in the development of these hard/soft fusion systems is to determine accurately and exibly the impact of human responses on the performance of the fusion operator.  ...  (i) The core of the belief function consists only of singleton elements from 2 Ω . The meaning of these belief and plausibility intervals has been debated at length.  ... 
doi:10.5281/zenodo.32204 fatcat:t7pem6odj5g43dvnoitxsa7xiy

Guest editorial: special issue on "knowledge extraction from low quality data: theoretical, methodological and practical issues"

Luciano Sánchez, Inés Couso
2011 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
The authors propose to model sets of kernels by clouds (convex sets of probabilities), obtaining an interval-valued filtered signal, as in the preceding paper.  ...  The reconstructed signal is interval-valued, reflecting the poor knowledge of the sensor impulse response.  ... 
doi:10.1007/s00500-011-0765-5 fatcat:ksjbmvypxfd3zpmad4cfb3k7oq
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