Purpose The aim of this study as to find out an approach for emergency program selection. Design/methodology/approach authors have generated six aggregation operators (AOs), namely picture fuzzy Yager weighted average (PFYWA), ordered average, hybrid geometric (PFYWG), and aggregations operators. Findings First all, the defined score accuracy function set (FS), some fundamental operational laws FS using operation. After that, developed laws, AOs, PFYWA, PFYWG, operators, been proposed along...

Probabilistic hesitant fuzzy Set (PHFs) is the most powerful and comprehensive idea to support more complexity than developed set (FS) frameworks. In this paper a novel improved TOPSIS-based method for multi-criteria group decision making (MCGDM) explained through probabilistic environment, in which weights of both experts criteria are completely unknown. Firstly, we discuss concept PHFs, score functions basic operating laws PHFs. fact, compute unknown weight information, generalized...

In this study, an extended version of intuitionistic cubic fuzzy Hamacher weighted aggregation operators is the primary objective expected study. We establish new concept, picture set, and utilize concept for ranking in decision analysis. Picture averaging operator, order averaging, hybrid operator are developed on basis sets. Some unique cases few suitable properties these proposed also examined. addition, based operators, we designing a multicriteria group decision-making framework. The...

The cache replacement policy (CRP) can reduce redundancy, improve usefulness, and increase network efficiency in content-centric networks (CCN). essential challenges addressing CRP (CCN) evaluation involve significant fuzziness. As a result, is important. A more effective way to capture fuzziness the spherical fuzzy rough set (SFRS). purpose of this paper focus on multi-criteria group decision making (MCGDM) using SFR settings new Einstein geometric aggregation operators. basic principles...

Several authors have quantified the modularity of software systems in terms coupling and cohesion metrics. Most these approaches focus on functional procedural dependencies system. Although highly relevant at design phase, static alone do not account for how a product evolves over time. Instead, this is also dictated by logical hidden between system files. To large extent, co-change (co-commit) relation captures different types dependencies. In paper, we define two measures...

Component Based System (CBS) development focuses on integrating software components, often developed by different parties, to build an application. integration plays a critical role in overall CBS development. As the number of interactions increases CBS, there is need for better management component process. In large and complex system integrator interested analyzing identify which are more important than others. this paper, we present interaction prioritization process uses concept 'degree...

Branded apps offer both an essential tool for businesses and consumers to interact in real-time share marketing messages as well innovative approach business that promotes value co-creation. In order explore the impact of branded on customers, this study provides a Three-way decision (TWDs) technique with decision-theoretic rough sets (DTRSs) selecting under spherical double hierarchy linguistic term (SDHLTSs) information. SDHLTSs is combination first second can more flexibly describe...

ABSTRACT: Wheat is an important “rabi” (post-rainy season) crops cultivated on more than 8.0 million hectares in Pakistan. Selection based different secondary traits enhances the progress and accuracy by which drought tolerant genotypes can be identified. In a glass house experiment, physical biochemical characteristics associated with adaptation were assessed twelve (12) wheat genotypes. Drought tolerance index, calculated seedling dry weight, exhibited that Pirsabak-2004 was most genotype....

A $k$-hypertournament is a complete $k$-hypergraph with each $k$-edge endowed an orientation, that is, linear arrangement of the vertices contained in edge. In $k$-hypertournament, score $s_{i}$ (losing $r_{i}$) vertex $v_{i}$ number arcs containing which not last element (in element). The total defined as $t_{i}=s_{i}-r_{i}$. this paper we obtain stronger inequalities for quantities $\sum_{i\in I}r_{i}$, I}s_{i}$ and I}t_{i}$, where $I\subseteq \{ 1,2,\ldots,n\}$. Furthermore, discuss case...

After the establishment of any facility, it is quite necessary to determine profitability unit.The present research provides a detailed analysis case unit along with costs and returns on investment.This paper also includes cost benefits newly installed digital printing department at Sapphire Diamond Company.Since relationship between fabric most non-linear, this reason system dynamics modelling technique was used in research; model requirement material, electricity, human resources.The...

This study investigates the,impact of key deep learning,parameters—algorithm,type, dataset size, learning,rate, batch and number,of epochs—on image,classification accuracy, a,critical concern,in industries such as,healthcare, security, and,technology. Despite,advancements in learning, optimizing,these parameters for maximum,accuracy remains,challenging. To address,this issue, a,survey was conducted,among 381 professionals and,academics experienced,in and,the data analyzed,using Partial Least...

The demand for third-party logistics (3PL) providers becomes an increasingly important issue corporations seeking improved customer service and cost reduction. Currently, there is no way to select the appropriate method selecting 3PL. Therefore, this paper develops a new extended multi-objective optimization ratio analysis plus full multiplicative form (MULTIMOORA) under double hierarchy linguistic single-valued neutrosophic sets (DHLSVNSs). For this, we first develop mathematical tool,...

Machine Learning (ML) is an Artificial Intelligence (AI) approach that allows systems to adapt their environment based on past experiences. and Natural Language Processing (NLP) techniques are commonly used in sentiment analysis Information Retrieval Techniques (IRT). This study supports the use of ML approaches, such as K-Means, produce accurate outcomes clustering classification approaches. The main objective this research explore methods for So, a combination different machine learning...

<abstract><p>Deep learning (DL), a branch of machine and artificial intelligence, is nowadays considered as core technology. Due to its ability learn from data, DL technology originated neural networks has become hot topic in the context computing, it widely applied various application areas. However, building an appropriate model challenging task, due dynamic nature variations real-world problems data. The aim this work was develope new method for selection using complex...

Reid conjectured that any finite set of non-negative integers is the score some tournament and Yao gave a non-constructive proof Reid's conjecture using arithmetic arguments. No constructive has been found since. In this paper, we investigate related problem, namely, which sets are imbalance tournaments. We completely solve problem (TIS) also estimate minimal order realizing an set. Our proofs provide pseudo-polynomial time algorithm to realize Along way, generalize well-known equal sum...

Book Review| March 01 2004 How Economics Became a Mathematical Science By E. Roy Weintraub. Durham, N.C.: Duke University Press, 2002. 313 pp. Cloth $54.95; paper $18.95. M. Ali Khan Search for other works by this author on: This Site Google History of Political Economy (2004) 36 (1): 212–214. https://doi.org/10.1215/00182702-36-1-212 Cite Icon Share Facebook Twitter LinkedIn MailTo Permissions Citation Khan; Science. 1 2004; doi: Download citation file: Zotero Reference Manager EasyBib...

We propose a methodology to study and visualize the evolution of modular structure network functional dependencies in software system. Our method identifies periods significant refactoring activities, also known as evolutionary hot spots systems. approach is based on clustering design matrices Kleinberg's identifying hot-spots dynamic networks. As case study, we characterize Octave over its entire life cycle.