Human qualitative judgments are often characterized by uncertainty and predictability. Decision-makers tend to be more confident in making linguistic decisions than crisp value judgments. MEREC is capable of achieving relative objective weights several conflicting criteria. This paper contains two parts, first, the extension method fuzzy circumstances based on terms which a parabolic measure has been used calculate overall performance alternatives as it able work according definition TFNs...

The main objective of stock portfolio selection is to distribute capital selected stocks get the most profitable returns at a lower risk. performance depends on number criteria based risk-return measures. Therefore, shares subject fulfilling criteria. In this paper, we have adopted an integrated approach two-stage framework. First, heronian mean operator (improved generalized weighted and improved geometric mean) combined with traditional Combined compromise solution (CoCoSo) method present...

Real world decision making is like a puzzle having complex, uncertain and vague information this fact portray the wide range applicability of grey system theory in procedure as deals with systems uncertainty. In order to extend base-criterion method conditions, may be better way solve lot multi-criteria decision-making problems. paper, we proposed novel approach ‘grey method’ (GBCM) based on linguistic variables extended information. Weights criteria have been calculated using GBCM....

In real-life decision-making problems, the constraints may change from time to time. Considering of elements certain decisions which lead introduction new alternative or removal old existing decision causing rank reversal. Rank reversal is most significant problem that can't be ignored in MCDM methods. Ranking alternatives through functional mapping criterion subintervals into a single interval (RAFSI) method effectively removes reversal, but there are some limitations like standardized...

Geometric wavelet is a recent development in the field of multivariate nonlinear piecewise polynomials approximation. The present study improves geometric (GW) image coding method by using slope intercept representation straight line binary space partition scheme. performance proposed algorithm compared with transform-based compression methods such as embedded zerotree (EZW), set partitioning hierarchical trees (SPIHT) and block optimized truncation (EBCOT), other recently developed “sparse...

Uncertainty is an important factor in the decision-making process. Hesitant Pythagorean fuzzy sets (HPFS), a combination of and hesitant sets, proved as significant tool to handle uncertainty. Well-defined operational laws attribute weights play role decision-making. Thus, paper aims develop new Trigonometric Operational Laws, weight determination method, novel score function for group (GDM) problems HPF environment. The approach presented three phases. first phase defines with sine...

The selection of an optimal supplier is a critical and open challenge in supply chain management. While experts' assessments significantly influence the process, their subjective interactions can introduce unpredictable uncertainty. Existing methods have limitations effectively representing handling this paper aims to address these challenges by proposing novel approach that leverages q-rung orthopair fuzzy sets (q-ROFSs). novelty proposed lies its ability accurately capture preferences...

Hesitant fuzzy sets have a unique characteristic that its basic element could manifest the assessment values of different decision makers on same option under certain criterion. Base-criterion method is very significant tool for calculating weights criteria in multiple decision-making. In this paper, we developed novel approach hesitant BCM based multiplicative preference relation group making. The base-comparison preferential criterion relative to other expressed as linguistic terms, which...

The multiagent environment for supply chain planning application is based on a framework unifying the internal behaviour of agents and coordination among agents. This system presents formal view using Contract Net Protocol (CNP) that relies basic loop agent behaviours: order receiving, announcement, bid calculation, scheduling followed by execution. Among these, calculation most difficult. It needs to determine quantity, cost time in which new can be implemented. Fuzzy programming has made...

HackPPL is a probabilistic programming language (PPL) built within the Hack language. Its universal inference engine allows developers to perform across diverse set of models expressible in arbitrary code. Through language-level extensions and direct integration with developer tools, aims bridge gap between domain-specific embedded PPLs. This paper overviews design implementation choices for toolchain presents findings by applying it representative problem faced social media companies.

Because of the risky nature stock market, most people do not feel a secure option to invest their money in financial trading. Focusing on this basic concern investors much research efforts are devoted develop automated trading systems that make intelligent decisions according market situation and help investor profit beside risk. In contrast, paper we proposed multi-objective based deep reinforcement learning for Target is get maximum by adjusting We design whole structure consisting two...