The intuitionistic fuzzy set (IF-set) has not been applied to matrix game problems yet since it was introduced by K.T.Atanassov. aim of this paper is develop a methodology for solving games with payoffs triangular numbers (TIFNs). Firstly the concept TIFNs and their arithmetic operations cut sets are as well ranking order relations. Secondly solutions defined. A lexicographic developed determine both Players through pair bi-objective linear programming models derived from two new auxiliary...

With the recent climate changes, investors and policy-makers are paying close attention to green bond market. This study intends analyze dynamic effects of shock transmission between policy uncertainty market offer some new perspectives on analysis volatility over previous years. To investigate time-varying volatility, we applied a TVP-VAR model. And impact three important time points is tested, which Paris Association convening in December 2015, 2017 annual Report Policies Actions China...

The aim of this paper is to study how solve a type matrix game with interval payoffs. In paper, the inequality relations and concept solutions payoffs are defined. Based on fuzzy ranking index defined, solution can be obtained through solving pair bi-objective linear programming models derived from constructed auxiliary models. It shown that proposed in extend those classical game. validity applicability methodology illustrated numerical example.

Joint source-channel coding (JSCC) offers a promising avenue for enhancing transmission efficiency by jointly incorporating source and channel statistics into the system design. A key advancement in this area is deep joint (DeepJSCC) technique that designs direct mapping of input signals to symbols parameterized neural network, which can be trained arbitrary models semantic quality metrics. This paper advances DeepJSCC framework toward semantics-aligned, high-fidelity approach, called...

Nowadays, considering the growing tendency of companies towards e-commerce as well green production, and dual-channel supply chain management has become particularly important. This paper investigates pricing decisions within a framework while capital constraints faced by risk-averse manufacturer. Simultaneously, impact degree risk aversion, consumer preferences, channel preferences on optimal decision-making process members is analyzed. We address issue financial manufacturer through bank...

Mathematical programming is a rich and well-developed area in operations research. Nevertheless, there remain many challenging problems this area, one of which the large-scale optimization problem. In article, modified Hestenes Stiefel (HS) conjugate gradient (CG) algorithm with nonmonotone line search technique presented. This possesses information about not only value but also function value. Moreover, sufficient descent condition holds without any search. The global convergence...

In order to solve the problem of non-ideal training sets (i.e., less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm based on unitary weights is proposed, where singular value decomposition total weight matrix from set calculated make be unitary. The example validation gates {H, S, T, CNOT, Toffoli, Fredkin} shows that our can accurately arbitrary within one iteration. performance comparison between other algorithms...

The intuitionistic fuzzy set (IF-set) has not been applied to matrix game problems yet since it was introduced by K.T.Atanassov.The aim of this paper is develop a methodology for solving games with payoffs triangular numbers (TIFNs).Firstly the concept TIFNs and their arithmetic operations cut sets are as well ranking order relations.Secondly solutions defined.A lexicographic developed determine both Players through pair bi-objective linear programming models derived from two new auxiliary...

The main objective of this paper is to develop a new ranking methodology for solving matrix games with intuitionistic fuzzy payoffs in terms value and ambiguity triangular numbers (TIFNs). In order obtain an equilibriu

Nowadays, considering the growing tendency of companies toward e-commerce as well green production, dual-channel supply chain management has become particularly important. This paper investigates pricing decisions within a framework while capital constraints faced by risk-averse manufacturers. Simultaneously, impact degree risk aversion, consumer preferences, and channel preferences on optimal decision-making process members is analyzed. We address issue financial manufacturers through bank...

Triangular intuitionistic fuzzy numbers (TIFNs) is a special case of (IF) set and the ranking TIFNs an important problem. The aim this paper to develop new methodology for by using multiattribute decision making methods (MADM). In methodology, value ambiguity indices may be considered as attributes in comparison are seen alternatives. A compromise ratio method MADM developed based on concept that larger TIFN should close maximum index far away from minimum simultaneously. proposed applied...

Inspired by Naor et al.'s visual secret sharing (VSS) scheme, a novel n out of quantum (QVSS) scheme is proposed, which consists two phases: process and recovering process. In the first process, color information each pixel from original image encoded into an n-qubit superposition state using strategy expansion instead classical expansion, then these qubits are distributed as shares to participants, respectively. During all participants cooperate collect together, perform corresponding...

The performance of deep learning based semantic segmentation models heavily depends on sufficient data with careful annotations. However, even the largest public datasets only provide samples pixel-level annotations for rather limited categories. Such scarcity critically limits scalability and applicability in real applications. In this paper, we propose a novel transferable semi-supervised model that can transfer learned knowledge from few strong categories to unseen weak image-level...

Cloud computing is a powerful and popular information technology paradigm that enables data service outsourcing provides higher-level services with minimal management effort. However, it still key challenge to protect privacy when user accesses the sensitive cloud data. Privacy-preserving database query allows retrieve item from without revealing of queried item, meanwhile limiting user’s ability access other ones. In this study, in order achieve preservation reduce communication complexity,...

The aim of this paper is to develop the concept and methodology matrix games with payoffs intuitionistic fuzzy sets (IF-sets). definition IF-sets given according Pareto solutions, solutions for game defined. It proven that can be obtained through solving a pair linear programming models. proposed method shown effective practical by numerical example, applied problems information.

Abstract The aim of this study is to investigate the fair allocation multi‐objective cooperative games (MOCGs) using a preemptive goal programming (PGP). First, research establishes PGP model, where priority factors describe importance degrees different objectives in MOCGs, positive and negative deviations present relation between overall payoff worth coalition, weighting express coalition weights MOCGs. Second, we relationships solutions model cores including preference core, ‐core,...